{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lesson-07 Recurrent Neural Networks 循环神经网络的原理及应用"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "循环神经网络是我们常用的一个网络模型，这个网络能够处理例如字符串，时间序列等问题。因为模型对序列问题的优势，RNN模型已经成为了自然语言处理问题的常见方法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在本课程的作业中，我们将完成三个任务：\n",
    "\n",
    "0. 基于任务驱动，实际感受并能够初步使用pytorch；\n",
    "1. 使用RNN模型进行名字的国籍分类；(这个程序主要是参考的Pytorch文档)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RNN也可以用于金融数据的预测，例如:\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上图中蓝色的部分就是预测值， 关于RNN模型对金融数据的预测，我们只会会增加专门的研讨课程，给大家讲解"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们今天带给大家的是使用RNN进行名字的国籍分类:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 使用RNN模型进行名字的国籍分类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "首先，我们下载数据: 将这个数据置于和我们jupyter notebook位置相同的地方"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1 我们利用通配符，打印出所有的文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting matplotlib\n",
      "  Downloading matplotlib-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (12.4 MB)\n",
      "\u001b[K     |████████████████████████████████| 12.4 MB 36 kB/s eta 0:00:019\n",
      "\u001b[33mWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)\")': /simple/pyparsing/\u001b[0m\n",
      "\u001b[?25hCollecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1\n",
      "  Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB)\n",
      "Collecting cycler>=0.10\n",
      "  Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /Users/stone/anaconda3/envs/pytorch37/lib/python3.7/site-packages (from matplotlib) (2.8.1)\n",
      "Collecting kiwisolver>=1.0.1\n",
      "  Using cached kiwisolver-1.1.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (113 kB)\n",
      "Requirement already satisfied: numpy>=1.11 in /Users/stone/anaconda3/envs/pytorch37/lib/python3.7/site-packages (from matplotlib) (1.18.1)\n",
      "Requirement already satisfied: six in /Users/stone/anaconda3/envs/pytorch37/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0)\n",
      "Requirement already satisfied: setuptools in /Users/stone/anaconda3/envs/pytorch37/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0.post20200210)\n",
      "Installing collected packages: pyparsing, cycler, kiwisolver, matplotlib\n",
      "Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.2.0 pyparsing-2.4.6\n"
     ]
    }
   ],
   "source": [
    "!pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['data/names/Czech.txt', 'data/names/German.txt', 'data/names/Arabic.txt', 'data/names/Japanese.txt', 'data/names/Chinese.txt', 'data/names/Vietnamese.txt', 'data/names/Russian.txt', 'data/names/French.txt', 'data/names/Irish.txt', 'data/names/English.txt', 'data/names/Spanish.txt', 'data/names/Greek.txt', 'data/names/Italian.txt', 'data/names/Portuguese.txt', 'data/names/Scottish.txt', 'data/names/Dutch.txt', 'data/names/Korean.txt', 'data/names/Polish.txt']\n"
     ]
    }
   ],
   "source": [
    "from io import open\n",
    "import glob\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "def find_files(path): return glob.glob(path)\n",
    "\n",
    "print(find_files('data/names/*.txt'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 名字里边包含不少非Ascii码，为了简便问题，我们将他们转化为Ascii码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Slusarski\n"
     ]
    }
   ],
   "source": [
    "import unicodedata\n",
    "import string\n",
    "\n",
    "all_letters = string.ascii_letters + \" .,;'\"\n",
    "n_letters = len(all_letters)\n",
    "\n",
    "# Turn a Unicode string to plain ASCII, thanks to https://stackoverflow.com/a/518232/2809427\n",
    "def unicode_2_Ascii(s):\n",
    "    return ''.join(\n",
    "        c for c in unicodedata.normalize('NFD', s)\n",
    "        if unicodedata.category(c) != 'Mn'\n",
    "        and c in all_letters\n",
    "    )\n",
    "\n",
    "print(unicode_2_Ascii('Ślusàrski'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ .,;'\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_letters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_letters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step1.3 然后我们建立类别和对于的名字的dictionary对应"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build the category_lines dictionary, a list of names per language\n",
    "category_lines = {}\n",
    "all_categories = []\n",
    "\n",
    "# Read a file and split into lines\n",
    "def read_lines(filename):\n",
    "    lines = open(filename, encoding='utf-8').read().strip().split('\\n')\n",
    "    return [unicode_2_Ascii(line) for line in lines]\n",
    "\n",
    "for filename in find_files('data/names/*.txt'):\n",
    "    category = os.path.splitext(os.path.basename(filename))[0]\n",
    "    all_categories.append(category)\n",
    "    lines = read_lines(filename)\n",
    "    category_lines[category] = lines\n",
    "\n",
    "n_categories = len(all_categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Ang', 'AuYong', 'Bai', 'Ban', 'Bao', 'Bei', 'Bian', 'Bui', 'Cai', 'Cao']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_lines['Chinese'][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.4 这一次我们使用pytorch, 来进行向量化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35\n",
      "torch.Size([5, 1, 57])\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "# Find letter index from all_letters, e.g. \"a\" = 0\n",
    "def letter_to_index(letter):\n",
    "    return all_letters.find(letter)\n",
    "\n",
    "# Just for demonstration, turn a letter into a <1 x n_letters> Tensor\n",
    "def letter_to_tensor(letter):\n",
    "    tensor = torch.zeros(1, n_letters)\n",
    "    print(\"tensor\", tensor)\n",
    "    tensor[0][letter_to_index(letter)] = 1\n",
    "    return tensor\n",
    "\n",
    "# Turn a line into a <line_length x 1 x n_letters>,\n",
    "# or an array of one-hot letter vectors\n",
    "def line_to_tensor(line):\n",
    "    tensor = torch.zeros(len(line), 1, n_letters)\n",
    "    for li, letter in enumerate(line):\n",
    "        tensor[li][0][letter_to_index(letter)] = 1\n",
    "    return tensor\n",
    "\n",
    "print(letter_to_index('J'))\n",
    "\n",
    "print(line_to_tensor('Jones').size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor tensor([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])\n",
      "tensor([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])\n"
     ]
    }
   ],
   "source": [
    "tensor = torch.zeros(1, 10)\n",
    "print(\"tensor\", tensor)\n",
    "tensor[0][letter_to_index('a')] = 1\n",
    "print(tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0.]],\n",
       "\n",
       "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0.]],\n",
       "\n",
       "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0.]],\n",
       "\n",
       "        [[0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0.]],\n",
       "\n",
       "        [[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "          0., 0., 0., 0., 0., 0.]]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_to_tensor('Jones')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以看到，是对名字里的每个字符做了 one-hot操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.5 然后，我们构建一个这样的RNN网络"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "\n",
    "class RNN(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super(RNN, self).__init__()\n",
    "\n",
    "        self.hidden_size = hidden_size\n",
    "        # nn.Linear 全连接层，一个是input的维度，另一个是output的维度\n",
    "        self.i2h = nn.Linear(input_size + hidden_size, hidden_size)\n",
    "        self.i2o = nn.Linear(input_size + hidden_size, output_size)\n",
    "        self.softmax = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, input, hidden):\n",
    "        combined = torch.cat((input, hidden), 1)\n",
    "        hidden = self.i2h(combined)\n",
    "        output = self.i2o(combined)\n",
    "        output = self.softmax(output)\n",
    "        return output, hidden\n",
    "\n",
    "    def initHidden(self):\n",
    "        return torch.zeros(1, self.hidden_size)\n",
    "\n",
    "n_hidden = 128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = torch.nn.Linear(20, 30)  # 20,30是指维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Linear(in_features=20, out_features=30, bias=True)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "rnn = RNN(n_letters, n_hidden, n_categories)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.6 运行一步RNN\n",
    "\n",
    "为了运行这个rnn网络，我们需要给他一个input，然后再加上一个hidden state. 然后我们就能过获得一个output，这个output便是的是这个单词的属于每个国家的概率，和接下来的hidden state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor tensor([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
      "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
      "         0., 0., 0., 0., 0., 0., 0., 0., 0.]])\n"
     ]
    }
   ],
   "source": [
    "input = letter_to_tensor('A')\n",
    "hidden =torch.zeros(1, n_hidden)\n",
    "\n",
    "output, next_hidden = rnn(input, hidden)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_hidden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hidden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-2.7880, -2.7617, -2.9117, -2.8808, -2.9181, -2.8497, -2.8759, -2.8473,\n",
       "         -2.8556, -2.9067, -2.8765, -2.9898, -2.8980, -3.0073, -2.9173, -2.9576,\n",
       "         -2.8651, -2.9532]], grad_fn=<LogSoftmaxBackward>)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[-2.4850e-02,  6.5433e-02,  1.3419e-01,  6.2842e-02,  8.7862e-02,\n",
       "          1.0712e-01,  9.3800e-02,  1.5327e-02, -1.0379e-01,  1.0815e-03,\n",
       "         -1.7651e-02,  4.2187e-02,  3.9292e-02, -1.8794e-02,  4.6053e-02,\n",
       "          6.8818e-02, -3.7164e-02,  7.2655e-02, -3.9711e-03, -1.1805e-02,\n",
       "          2.0365e-02, -1.1556e-01, -8.1031e-02,  9.3311e-05,  1.2629e-02,\n",
       "         -4.6561e-02, -4.3573e-02,  2.4429e-02,  7.5039e-02,  8.3200e-02,\n",
       "          1.2353e-01, -8.0617e-03,  2.7043e-02,  5.3525e-02,  1.0650e-01,\n",
       "         -7.3032e-03, -6.9462e-02, -4.9952e-02, -6.3660e-02, -7.3335e-02,\n",
       "          4.4181e-02,  8.1327e-02, -1.3975e-03,  1.1237e-01, -3.5186e-02,\n",
       "          1.0134e-01,  4.0054e-02, -5.8266e-02,  4.2609e-02, -7.4894e-03,\n",
       "          1.0426e-02,  1.3240e-01, -2.9451e-02, -8.5313e-02,  5.6853e-02,\n",
       "         -2.2259e-02,  8.1372e-02, -7.8340e-02,  1.4059e-02, -5.2382e-02,\n",
       "          5.3855e-02, -4.3418e-02,  5.8648e-02,  1.2940e-02,  7.8108e-02,\n",
       "          6.7229e-02, -9.9370e-03,  7.4069e-02, -3.1786e-02, -4.6979e-02,\n",
       "         -4.6775e-02, -6.3551e-02, -3.1361e-02, -6.6511e-02,  7.0873e-02,\n",
       "         -1.8487e-02,  1.1038e-02, -9.6480e-02,  9.5246e-03,  1.9404e-02,\n",
       "         -2.5352e-03,  7.6153e-02,  1.2983e-01, -6.0591e-03, -5.1405e-02,\n",
       "         -1.4775e-02,  8.6128e-02, -3.5846e-02,  9.9987e-02, -6.4227e-02,\n",
       "         -7.8190e-03,  1.2276e-02,  8.5012e-03, -4.9178e-02, -8.8543e-02,\n",
       "         -7.4058e-02,  1.7766e-02, -8.6342e-02,  1.4480e-01,  1.3781e-01,\n",
       "         -9.1399e-02, -9.0860e-02,  5.0545e-02,  2.6597e-02, -3.5055e-02,\n",
       "          5.7624e-02,  1.0263e-02, -4.1934e-03,  2.0764e-02,  7.0656e-02,\n",
       "          2.2040e-02, -9.4287e-04, -9.1146e-02,  2.3378e-02,  1.0307e-01,\n",
       "         -9.6433e-02, -2.4104e-02,  5.2174e-02,  1.3222e-02,  1.1407e-02,\n",
       "          3.5235e-03, -1.6684e-04, -2.6719e-03,  3.1704e-02,  6.9171e-02,\n",
       "         -6.7944e-02,  2.1846e-02, -5.1712e-02]], grad_fn=<AddmmBackward>)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next_hidden"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "然后，我们可以使用 line_to_tensor, 把一句话直接变成 tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[-2.7880, -2.7617, -2.9117, -2.8808, -2.9181, -2.8497, -2.8759, -2.8473,\n",
      "         -2.8556, -2.9067, -2.8765, -2.9898, -2.8980, -3.0073, -2.9173, -2.9576,\n",
      "         -2.8651, -2.9532]], grad_fn=<LogSoftmaxBackward>)\n"
     ]
    }
   ],
   "source": [
    "input = line_to_tensor('Albert')\n",
    "hidden = torch.zeros(1, n_hidden)\n",
    "\n",
    "output, next_hidden = rnn(input[0], hidden)\n",
    "print(output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这个output，就是基于目前的RNN参数，预测出来的国籍概率分布。显然是不对的，因为里边的参数都是随机的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.7 更好的观察结果"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了能够更好的看到我们的训练结果，我们需要把输出的tensor变成我们能看懂的国籍"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def category_from_output(output):\n",
    "    top_n, top_i = output.topk(1)\n",
    "    print(top_i.item())\n",
    "    category_i = top_i[0].item()\n",
    "    return all_categories[category_i], category_i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Polish'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对于刚刚产生的output，我们使用这个函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "('German', 1)\n"
     ]
    }
   ],
   "source": [
    "print(category_from_output(output))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.8 随机生成训练数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "category = Korean / line = Woo\n",
      "category = Scottish / line = Docherty\n",
      "category = Korean / line = Jong\n",
      "category = Irish / line = Murchadh\n",
      "category = Portuguese / line = Simoes\n",
      "category = Arabic / line = Mustafa\n",
      "category = Polish / line = Szczepanski\n",
      "category = English / line = Kingscott\n",
      "category = Polish / line = Sokoloff\n",
      "category = Vietnamese / line = Lam\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "def sample(l):\n",
    "    return l[random.randint(0, len(l) - 1)]\n",
    "\n",
    "def sample_trainning():\n",
    "    category = sample(all_categories)\n",
    "    line = sample(category_lines[category])\n",
    "    category_tensor = torch.tensor([all_categories.index(category)], dtype=torch.long)\n",
    "    line_tensor = line_to_tensor(line)\n",
    "    return category, line, category_tensor, line_tensor\n",
    "\n",
    "for i in range(10):\n",
    "    category, line, category_tensor, line_tensor = sample_trainning()\n",
    "    print('category =', category, '/ line =', line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 因为我们这个模型需要 softmax 来获得每个类别，所以我们使用cross-entropy作为Loss函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "learning_rate = 0.005 # If you set this too high, it might explode. If too low, it might not learn\n",
    "\n",
    "def train(category_tensor, line_tensor):\n",
    "    hidden = rnn.initHidden()\n",
    "\n",
    "    rnn.zero_grad()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = rnn(line_tensor[i], hidden)\n",
    "\n",
    "    loss = criterion(output, category_tensor)\n",
    "    loss.backward()\n",
    "\n",
    "    # Add parameters' gradients to their values, multiplied by learning rate\n",
    "    for p in rnn.parameters():\n",
    "        p.data.add_(-learning_rate, p.grad.data)\n",
    "    return output, loss.item()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14\n",
      "500 5% (0m 0s) 2.8239 Shearer / Scottish ✗ (English)\n",
      "3\n",
      "1000 10% (0m 1s) 2.8954 Skomicka / Japanese ✗ (Czech)\n",
      "10\n",
      "1500 15% (0m 2s) 2.8334 Zimola / Spanish ✗ (Czech)\n",
      "6\n",
      "2000 20% (0m 2s) 2.8420 Han / Russian ✗ (Vietnamese)\n",
      "1\n",
      "2500 25% (0m 3s) 2.6168 Meissner / German ✓\n",
      "8\n",
      "3000 30% (0m 4s) 2.9001 Tan / Irish ✗ (Chinese)\n",
      "15\n",
      "3500 35% (0m 4s) 2.7925 Levesque / Dutch ✗ (French)\n",
      "11\n",
      "4000 40% (0m 5s) 3.4627 Maolmhuaidh / Greek ✗ (Irish)\n",
      "6\n",
      "4500 45% (0m 6s) 2.8464 Borovsky / Russian ✗ (Czech)\n",
      "11\n",
      "5000 50% (0m 6s) 1.8879 Hagias / Greek ✓\n",
      "8\n",
      "5500 55% (0m 7s) 2.7985 Campbell / Irish ✗ (Scottish)\n",
      "2\n",
      "6000 60% (0m 8s) 2.6977 Koiso / Arabic ✗ (Japanese)\n",
      "2\n",
      "6500 65% (0m 9s) 2.6301 Stilo / Arabic ✗ (Italian)\n",
      "6\n",
      "7000 70% (0m 9s) 2.0712 Amelsvoort / Russian ✗ (Dutch)\n",
      "4\n",
      "7500 75% (0m 10s) 1.3147 Pham / Chinese ✗ (Vietnamese)\n",
      "6\n",
      "8000 80% (0m 11s) 1.3544 Detengof / Russian ✓\n",
      "5\n",
      "8500 85% (0m 11s) 1.7190 Wang / Vietnamese ✗ (Korean)\n",
      "8\n",
      "9000 90% (0m 12s) 1.9657 Flanagan / Irish ✓\n",
      "16\n",
      "9500 95% (0m 13s) 2.0290 Ha / Korean ✗ (Vietnamese)\n",
      "4\n",
      "10000 100% (0m 13s) 1.5070 Chu / Chinese ✗ (Korean)\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import math\n",
    "\n",
    "n_iters = 10000 # 这个数字你可以调大一些\n",
    "print_every = 500\n",
    "plot_every = 100\n",
    "\n",
    "\n",
    "# Keep track of losses for plotting\n",
    "current_loss = 0\n",
    "all_losses = []\n",
    "\n",
    "def time_since(since):\n",
    "    now = time.time()\n",
    "    s = now - since\n",
    "    m = math.floor(s / 60)\n",
    "    s -= m * 60\n",
    "    return '%dm %ds' % (m, s)\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "for iter in range(1, n_iters + 1):\n",
    "    category, line, category_tensor, line_tensor = sample_trainning()\n",
    "    output, loss = train(category_tensor, line_tensor)\n",
    "    current_loss += loss\n",
    "\n",
    "    # Print iter number, loss, name and guess\n",
    "    if iter % print_every == 0:\n",
    "        guess, guess_i = category_from_output(output)\n",
    "        correct = '✓' if guess == category else '✗ (%s)' % category\n",
    "        print('%d %d%% (%s) %.4f %s / %s %s' % (iter, iter / n_iters * 100, time_since(start), loss, line, guess, correct))\n",
    "\n",
    "    # Add current loss avg to list of losses\n",
    "    if iter % plot_every == 0:\n",
    "        all_losses.append(current_loss / plot_every)\n",
    "        current_loss = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.9 观察Loss的变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2.891169612407684,\n",
       " 2.884892690181732,\n",
       " 2.8715409684181212,\n",
       " 2.8750771164894102,\n",
       " 2.8630026745796204,\n",
       " 2.869994239807129,\n",
       " 2.8557896566390992,\n",
       " 2.8534630155563354,\n",
       " 2.857080636024475,\n",
       " 2.864502260684967,\n",
       " 2.851086902618408,\n",
       " 2.8326221108436584,\n",
       " 2.803718018531799,\n",
       " 2.81287921667099,\n",
       " 2.8182886123657225,\n",
       " 2.8024545431137087,\n",
       " 2.7955202198028566,\n",
       " 2.817164421081543,\n",
       " 2.8103586769104005,\n",
       " 2.7855530738830567,\n",
       " 2.7730623364448546,\n",
       " 2.784241895675659,\n",
       " 2.806389720439911,\n",
       " 2.7610155272483827,\n",
       " 2.740862944126129,\n",
       " 2.782325246334076,\n",
       " 2.785158910751343,\n",
       " 2.717783613204956,\n",
       " 2.738519982099533,\n",
       " 2.7388223719596865,\n",
       " 2.7283761596679685,\n",
       " 2.7420134568214416,\n",
       " 2.7433501505851745,\n",
       " 2.6845206689834593,\n",
       " 2.664956715106964,\n",
       " 2.6752846467494966,\n",
       " 2.676107462644577,\n",
       " 2.570950245857239,\n",
       " 2.6059303373098373,\n",
       " 2.6016367614269256,\n",
       " 2.585381655693054,\n",
       " 2.6530732905864713,\n",
       " 2.618065198659897,\n",
       " 2.6247437047958373,\n",
       " 2.598008078336716,\n",
       " 2.560312762260437,\n",
       " 2.636624950170517,\n",
       " 2.553710286617279,\n",
       " 2.571435812711716,\n",
       " 2.5270614552497865,\n",
       " 2.504256855249405,\n",
       " 2.505571417808533,\n",
       " 2.530925552845001,\n",
       " 2.4753098106384277,\n",
       " 2.378066686987877,\n",
       " 2.470442935228348,\n",
       " 2.4905427837371827,\n",
       " 2.337591234445572,\n",
       " 2.4288807183504106,\n",
       " 2.4264743983745576,\n",
       " 2.3866503727436066,\n",
       " 2.379074229598045,\n",
       " 2.3567627799510955,\n",
       " 2.3741073203086853,\n",
       " 2.3364373481273653,\n",
       " 2.3275640676915645,\n",
       " 2.4005400341749192,\n",
       " 2.3504796612262724,\n",
       " 2.2397509779036047,\n",
       " 2.2818192344903947,\n",
       " 2.201626355946064,\n",
       " 2.23266066133976,\n",
       " 2.2309418138861656,\n",
       " 2.1990836316347124,\n",
       " 2.2018908897042273,\n",
       " 2.333283285796642,\n",
       " 2.3074914717674258,\n",
       " 2.303329999446869,\n",
       " 2.1541694247722627,\n",
       " 2.2801233464479447,\n",
       " 2.342628222703934,\n",
       " 2.192387395501137,\n",
       " 2.262091352343559,\n",
       " 2.324637308716774,\n",
       " 2.2921689170598984,\n",
       " 2.2502195763587953,\n",
       " 2.2368144273757933,\n",
       " 2.086682410389185,\n",
       " 2.1563881692290305,\n",
       " 2.1551320683956146,\n",
       " 2.1758540892601013,\n",
       " 2.141302143931389,\n",
       " 2.219644847512245,\n",
       " 2.098873524069786,\n",
       " 2.1916513991355897,\n",
       " 2.056483219265938,\n",
       " 2.2017084887623786,\n",
       " 2.15897169187665,\n",
       " 2.156121782809496,\n",
       " 2.2019720738381148]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11b99dd90>]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(all_losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "> Dovesky\n",
      "(-1.41) Polish\n",
      "(-2.05) Russian\n",
      "(-2.43) Czech\n",
      "\n",
      "> Jackson\n",
      "(-1.89) Russian\n",
      "(-2.10) Greek\n",
      "(-2.11) Scottish\n",
      "\n",
      "> Satoshi\n",
      "(-1.57) Polish\n",
      "(-2.20) Italian\n",
      "(-2.30) Japanese\n"
     ]
    }
   ],
   "source": [
    "def evaluate(line_tensor):\n",
    "    hidden = rnn.initHidden()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = rnn(line_tensor[i], hidden)\n",
    "\n",
    "    return output\n",
    "\n",
    "def predict(input_line, n_predictions=3):\n",
    "    print('\\n> %s' % input_line)\n",
    "    with torch.no_grad():\n",
    "        output = evaluate(line_to_tensor(input_line))\n",
    "\n",
    "        # Get top N categories\n",
    "        topv, topi = output.topk(n_predictions, 1, True)\n",
    "        predictions = []\n",
    "\n",
    "        for i in range(n_predictions):\n",
    "            value = topv[0][i].item()\n",
    "            category_index = topi[0][i].item()\n",
    "            print('(%.2f) %s' % (value, all_categories[category_index]))\n",
    "            predictions.append([value, all_categories[category_index]])\n",
    "\n",
    "predict('Dovesky')\n",
    "predict('Jackson')\n",
    "predict('Satoshi')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 代码练习"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. 尝试在我们的RNN模型中添加更多layers，然后观察Loss变化"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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YD5AXt8eyrdcypiCmf4J8mnEyzwSppe06bT/gKO6k1kZDArFRBkQbgVoTcCbfjPHpRhzKbC1fQmhgovWneCyn1f5QZmu5SugTqloDlfXAfdfEYnBKuGqZyLNaBYakScDdBFqrK+72OcD9O5PfiF/+rUTNZvp0n7UP95ZZ1prbDVOsn0+tKsGLa8vw7D8uQ2qHMptJTP9Eq5DsP9eATYdr1OypAMfB6PeSwDdmWscTfvxWkVof8/SqEuWjVmbmjY1EbIQISBN+vbIUL20sx5qWcqdtkXPvtXHqmZ+9W4wdJ+tw14sFSLk/S83Q62X0+DgJOCRAgXCIBbjvulicyG3AT1eUosEM/PddiZgwyNqU/+bsPlg8M0r9mP9vQ7kadEyKDUFdS1fwkJRwdV8GMe/8QyEKyzv0TTkJk9b6JfDM0iSMTw/DjtMmPPJ6ER67pS+iwmErMzKR4dWHUlVL44W1FVixrRLPLEtWQBrM1i7MJ+7oi6XzorHhYD1u+m0BsgrNePl7yZg2rH0Xk34pMmXeJhDSLPOb2phgPyN41c4qPPhyMX5wUxyevy8ZFbVNkH7hcAdTVWWeely0c42V9Q9xUQYYtOlTbTgH6qW7zwgOtvJWUtmEpFiDbQJEx3LQZGlW6x8SY1rHETq6ka5LGaDu24mbjs8E6nd3l7dA5eDpeK9bt07t5rp48eJ2QXEMoh0O+y/x0c5/qJ2Jg/gk/cY0JNCWQHKbAeS29tp1qCEEnYmDuJPZSMEgDhoTfnqeANdBdJNxlDEEqXEhqubfzUfojARIgAQCmgDXQXQz+26dHQP5oyEBEiCBYCfgvAM92Mkw/SRAAiQQ5AQoEEFeAJh8EiABEnBGgALhjAztSYAESCDICVAggrwAMPkkQAIk4IwABcIZGdqTAAmQQJAQcDaLiQIRJAWAySQBEiABZwScrYOwWyjHlYtWhJs2bUJeXh4efPBBGLSN9p3Rpb3LBFje7NFZLBa88cYbGDJkCG688UZ7B7QhAS8RYAvCCeibbroJERERWL58OU6cOOHEFa1JwL0EpKxJmevfvz/Fwb1o6ZsLBOz2YnLBD10/smPHDpw+fVq1IkaMGIHZs2cjOrr9SV+6BsDEeZxAbW0t9u3bh4yMDEjrYezYsbj66qs9Hi4DIAGNgLO9mCgQGqEuPo8cOYKTJ0+isrISkZGRGDRoEKZOnYqkpKQunuRtErAnUFpaCilT0o3Z0NCA2NhYjB8/XpUpe9e0IQHPEqBAuIlvfX29+mFnZmaiqqoK4eHhSiSkdSE1v7Awu2EdN4VMbwKZQGNjo2qJSitBxMFsNitRGD58uBIFqXTQkICvCFAgPEBeugOkz7jtj15+6AMHDsTIkSMhP36a4CUglYjz58/j0qVLkG6ktpWJCRMmcPJD8BYNv0u5M4FgdbcXWSWzmyZNmqT+xJuamhocP34cOTk52LJli9pfXcYr+vXrh1GjRmHYsGG9CI2P+juBrKysdoIgc8sTEhJU3k+ePBl9+rQ/S9rf08P4BQ8BKatS4e1oOAbRkYgbv5eVlalxiwsXLqixC8kAeUmIYEgLg4LhRtg+8EoThMLCQlU5kApDfHw80tLSVHcjx6d8kCkM0iUCbEG4hK13DyUmJmLevHk2T6Tv+dSpU8jPz1ctjLaCMXr0aDXv3eaYF35HQFqGZ8+eRUdBGDp0KMaNG8cJC36XY4xQbwmwi6m3BHvwvNQor7rqKtsTIhhnzpxRM1k2b96smngym0XGMOSFI3PhaXxHQMYONEGXCQlaC0HGlsaMGUNB8F3WMGQvEaBAeAm0o2BEMObOnWu7JTVT7YUkNVV5IUkrRLqjJk6cyBlSNlKeuZCZRjKGJAPL0j0oLTwRbOkyEsGWrkEaEggmAhQIP8pteQG1fQnJ7ChZpHf48GHs2bMHUVFRSE9PV2LR1p0fJSHgolJcXIxjx46pbj+ZaWQ0GpGamopp06ZBpi7TkEAwE6BA+HHuywtKe0nJDKmjR48iOztb1XBDQ0PRt29fNUOGUya7n4nSKpAFj+fOnUNJSYmtlSCcp0yZwplG3UdJl0FAgLOYAjSTZexC/qQGLF0jMjtKBktnzpypVnoHaLI8Em1Z3HjgwAElriK0sphRWgky9VgWN9KQQLAT4CwmnZUAGSSVPzHl5eWqm0SmXUofekxMjHr5STeJdJkEozGZTKprTloK1dXVSkAHDx4MWY8g4zo0JEACXRNgF1PXjPzehSzGmj9/voqn1JD379+vBrtlrx8ZZJUBbnkxBoOR8QQRSZl1JLvxSqtq1qxZ7DoKhsxnGl0mwIVyLqML3AdlJo50rcj8fel7lw0GZZqtiIaejIjBzp071XRhmfkl5yhIVxtbCnrKZabFkwScdTFxDMKT1P3Ib5kNJS0K6Y6Ki4tTA7IyuB3IRvbBkoF72WFXWlGyuy7HFAI5Rxl3XxGgQPiKvJ+FK11Qu3btQm5urlpnMX369IDbYlqE7tChQ6pVJOMKslqd+xz5WUFjdAKKgDOB4BhEQGVj7yMrL9KFCxcqj3bv3q3GKw4ePKjm/YtYdGY++OAD3HzzzWoQvDN3Pb0ng8gbNmzAnXfe2emjIgqyJkS6y6T103aRYacP8iYJkIBLBCgQLmHTx0PygpU/EQrt5SvfZdWwIyN9+gUFBWqGlKP7rtqJn52NF8jqcomjHKwuh+pQGFwlzedIoGcEKBA946VL15pQ7N27F3LEqnThLFq0SI1VtE2w7A0l+xPJ+gF3GtlixNHKcBlbWL9+vZqRJIvY5syZ485g6RcJkEAXBAxd3OftICIgL+Bly5ZBpry999572LhxY7vUy0tcXubuNiI6HTcmlLAlDhIXiRPFwd3U6R8JdE2AAtE1o6ByIYvsli5dqqbDyvTYlStXQlYii0lOTkZFRYU6LtNdUGQVuPgpfouRsFasWKGm5sqUXImLxImGBEjA+wQoEN5nHhAhyuK6u+++W72833nnHdW1JGsM5EVeVFTktjRIi0T8FL+lJSFh1dXVqbAlDjQkQAKeJyDje9Ja72goEB2J8LuNgCyou+eee9Tg8OrVq9VCNG0cwuaolxciEOKnnLonYUhBlTD1tpivl5j4OAl4lICIg/z2OhoKREci/N6OgNblJJYyYCxnWEhN311GZjCJnzIPWwy7lNxFlv6QQO8JUCB6z1D3Psg5y9oaha1bt7pVIERsxE8xEoaERUMCJOAfBCgQ/pEPfh8LWaewZMkS1Qw1m83qxLXeRlr2ihK/pGkrfne2FqK3YfF5EiCBnhOgQPScWdA+IV1Bsj5CzKefftprDpof4qf4TUMCJOBfBLhZn5vyo3Ylj6d0E0pdehN9V4Yu08VE6YOAs72Y2ILQR/4yFSRAAiTgdgIUCLcjpYckQAIkoA8CFAh95CNTQQIkQAIuE+A6CJfR8UESIAES0DcBrqTWd/4ydSRAAiTgdgLsYnI7UnpIAiRAAvogQIHQRz4yFSRAAiTgdgIUCLcjpYckQAIkoA8CFAh95KPPU2GxNOP51WV4dXOF07icvGBSbv75Va1TN729caoljK0eDKO3ceTzJBAoBCgQgZJTfh7PJgvw9PtleO7Ty05jei7fhFc2lWPXaesBRE4d9uLG8dwGFY8NB2t64QsfJQESEAI8k5rlwGsEbp0dA/mjIQESCAwCFIjAyCeXYrn8swq89lk5LpU1YcHUaDxwfTzmj49SftWZLHj6/ctYd6AaheUWjEkLx8+/lYhbZllf4J/srcaTq0rx01sTkV1kxltbKzEuLRyv/6AfDmY04Kn3S5EQbcDTS5Nw3cRoW/zkUCrp3nlyZSmyC8247cpYvHB/MsLDQiC1+p//rQT3zI9TYbUNo6zagpc3lWNoShh+cmsibpzaR/lZUtmE/3q3GNu+qlPfb54RjT/8ewqijNbG7+mLJjz0aiHOXDRj3rhIfH2a9TlbhHhBAiTQJQGug+gSkb4cvLGlAo+9XYryWgseuCEeX56sw53PF0BeuGLu+/MlvLSxEtERBjxwfRzO5ptx14tF2HjY2jVTb25GZmETRGQ+P1qLiPAQ7DhtwqNvFePx90owMDEUBzLNePj19sePVtU145E3ijBndCSk2+mtf1bh5ZZxico6i/KzpMoaBy2Mv26twOufl2N4ahh2nTHhu38ptJ1uteQP+Xh/Vy2WzY/DPdfE4e1tNXj0zWKVBinUdzyfj/0ZZkwZakR8tAFPrSq13lP/+Y8ESKA7BJytpGYLojv0AtDNH9eUqVh/9F8DMXVoBGYMj8C72yux+0wdhqSEY8PheiTHhmDf7weps2hnjYzA/S8V44XVZaoWrp1OW1bThK9eHIKj2Q24+ol8bD5Sjy+eGYhZIyMx/tFsZBdbcLG0EanxoSq8mgZg/Y/6q/vXjI/Csj8V4YNdVXh0UYIdRS2MnOJGnHlpKIxhIZj3y1wcyWnEkSwTTI3N2HfejDkjw/HsMut24LtP12Hlzhr8/t4mSOshq8iC9CQDNj2Zrvx/4C+XlKDYBUYLEiCBHhOgQPQYmf8/IN1HuSUWGEKA8elGFeFvzomB/Il5b0eV+pw9MsJ2ULm88MXILKC25srRkQg1hGBciz+R4cD04RHKyYR0I3KK65FZaLYJRGgIMGWo9b72mVtsbuul3fX8CVFKHOTGtOERSiDOXTKhwWw9I/d8gRnXPJGnnhMxsTQDWUVmZBc3KjtpPWhmxvBICoQGg58k0EsCFIheAvTHx+tN1hdrmAEIdTBPTXvx9olsvRkVYa3Pm6y9P7Zk9Y21FhGtzz8uKkQJhjiINGptAJtzRBqBcGtjQnVLyR3paurMpMa3FsOoiJaHAZit738M6BuGBS1jEpo/cVEG1cKQ79Et4xFyLV1hNCRAAu4h0PrLdI9/9MUPCCTGhCIuEqisB6T2PSbNiH+dqcPb2yrxtUnRGDUgXMXyQEbrdNP95xqUnXbP1WRIF1PGJTNGDjDiWI7Vz7Qk14rZkFTrczLA/cQdfVWUqustiDaGwGAIQVaRVUG0cMTBoczWNLmaBj5HAiRgJdBahSQRXRH49vVxKj3/+VYR1h+swU9XlOBvX9YgJtKAuWMiMXlwmOq/f+TNYry/q0oNPMsDD99sP1bQHTDS7SNG6u8/WF6Ej/dUq5lMYufq1Nb546IwKMmAI1lmyJjKlmO1GPejbMz9VZ7qfpo3NhKxEcCZ/Cb8emUpXtpYjjX7rIPszS3xscaK/0mABFwhQIFwhVoAPPP47X3x79f2we4zJtz5x0JcKG3EC/cnYdGMPqr2veonA3D9xAi8ubUKD/ylGKWVTfj9vX2xdJ5r6xTqzdZ+pJEDQvH16X3w3VeKcDyvEQsmReARF0VHWg4Sz4mDw/DkqjLc/twljB9kxLuP9lddSTID69WHUhFtBF5YW4EV2yrxzLJklTsNLfEJgKxiFEnAbwnwTGo3ZY2/nkndZGlGaVUT2vbzt02yjEfI9NOUuNa+/7b3Xb02Nzaj1mRBfLR7/K2stSA8DLb1D23jJWmU+9K15q+GZ1L7a84wXkLA2ZnUrnUOk2nAEJAZSM7EQRIhg7op2qiyG1Mltf/4MPe9sOOinTd2JY3+LA5uxEqvSMCrBJz/6rwaDQZGAiRAAiTgbwQoEP6WI4wPCZAACfgJAQqEn2QEo0ECJEAC/kaAAuFvOcL4kAAJkICfEKBA+ElGMBokQAIk4G8EKBD+liOMDwmQAAn4CQEKhJ9kBKNBAiRAAv5GgALhbznC+JAACZCAnxDgQjk3ZUQwrJS1WCx44403MGTIENx4441uIbdp0ybk5eXhwQcfhMHA+opboNITEnATAf4i3QRS796cOHECy5cvR//+/d0mDsLspptuQkREhPJbwqAhARLwPgFnJ8pxLybv50XAhFhbW4t9+/YhIyMD0noYO3Ysrr76ao/Ef8eOHTh9+rRqRYwYMQKzZ89GdHTrWdceCZSekgAJKALO9mKiQLCAtCNQWlqKI0eOqG6fhlJiV6IAACAASURBVIYGxMbGYvz48Zg6dWo7d576ImGfPHkSlZWViIyMxKBBg1TYSUnWI0c9FS79JYFgJkCBCObc7yTtjY2NquYurQQRB7PZrERh+PDh6sUsL2lfmPr6eiVUmZmZqKqqQnh4OEQkpHUhLZmwMA6f+SJfGKY+CVAg9JmvLqVKXrrnz5/HpUuXIN1IbV++EyZM8LvBYunekvGJtiImwjVw4ECMHDkSImY0JEACrhNwJhCshrnONGCezMrKaicIMiCVkJCAUaNGYfLkyejTp49fp0VmN02aNEn9SURrampw/Phx5OTkYMuWLWhublbjFf369VNpGjZsmF+nh5EjgUAhwDGIQMmpHsRTE4TCwkL1MpUXbHx8PNLS0lT3jN7688vKytS4xYULF9TYhbQ4RPREMKSFQcHoQeGh06AkwBaEjrNdatJnz55FR0EYOnQoxo0bp/rudZx8JCYmYt68ebYkyljKqVOnkJ+fr1oYbQVj9OjRah2HzTEvSIAEnBJgF5NTNP57Q8YOtBegDOBqLQTpix8zZozuBaGrnJEW0lVXXWVzJoJx5swZNTNr8+bNasquzM6SMQwRUFnbQUMCJGBPgAJhz8TvbGSmkfS5y8CydKdIjVhecNJlJC846UqhcU5ABGPu3Lk2B9LS0gRWWl4isNIKke6oiRMncoaUjRQvgp0ABcJPS0BxcTGOHTumuklkppHRaERqaiqmTZumpnr6abQDIloiqG1FVWZHySK9w4cPY8+ePYiKikJ6eroSi7buAiJxjCQJuJEABcKNMHvjlbQKZIHYuXPnUFJSYmslyLz/KVOm+P1Mo96k3dfPCmP5EyMzpI4ePYrs7GzVYgsNDUXfvn3V7Ch/nALsa3YMX98EOIvJh/kri8EOHDigXkbyYpLFX9JKkOmnshiMxvcEZOxC/qRFJ119MjtKBv9nzpypVnr7PoaMAQn0ngBnMfWeoVt8MJlMqitDWgrV1dXqhTN48GC1HkH6wWn8i4AM+sufmPLyctXtJ9OIZUwoJiZGibl0+0kXIA0J6I0Au5i8lKMyniAvFZl1JLuXSi101qxZ7DryEn93BCOLC+fPn6+8khbf/v371WC37B8lkwZkgFsWHtKQgF4IsIvJgzkpYrBz5041vVJmysg5CtI1wZaCB6H7wGuZWSZdhbIeRcaSZINBmWYrokFDAoFAwFkXEwXCA7kn+wbJQKfsSCq1TtkJlWMKHgDth17KbChpUUh3VFxcnJpgIIPbNCTgzwQoEF7IHXkxHDp0SNUiZVxBVvf6+z5HXsASlEFIF9SuXbuQm5ur1llMnz7da1umByVwJrpXBJwJBMcgOsEqg8gbNmzAnXfe2YkrKFGQOfTSvSC1xbaLsjp9kDd1S0AqBgsXLlTp2717txqvOHjwoFrHImLRmfnggw9w8803q0HwztzxHgl4mgAFohPCBQUFnY4XyGpc+fHLbqJyqA6FoROYQXxLyoX8SVmRFqZUJuS7rIJ3ZGSMSsqeTHemIQFfEqBAdEJftmRwtJJWxhbWr1+vZiTJIrY5c+Z04gtvkYCVgCYUe/fuhRyxKl2SixYtUmMVbRnJ3lCy3xYFoi0VXnuSgFRy5RiAjsbQ0YLfWwnIj7TjRm4bN27Ee++9p2AuW7aM4tCKi1fdJCAVCik78oOUsiRlqq2RSolUTmhIwFsEpCyKSHQ0FIiORFq+y6rZiooKJCcnKxtZ9bxixQo1lVGmMC5dupR9xE7Y0bprArLITsqQlCWZHrty5UpIGRMjZU7Knhz/SkMCviRAgXBCX2pw8kOV9QvSknjnnXdQV1eHu+++Wy2IcvIYrUmgRwRkcZ2UKREEKWNS1qTMSdkrKirqkV90TALuJkCBcEJUBEK6l+SUstWrV6vm1z333MPFT0540dp1ArKgTsqWNPGlrOXl5amyJ2JBQwK+JECBcEJfZpHIOQIyP1gMu5ScgKK1WwhoXU7imUyAkLJHgXALWnrSCwIUCCfw5Me5detWdVfWQciZzjQk4EkCUsa0NTdS9igQnqRNv7tDgALhgJLsrSMDhNLkX7JkSadrIRw8TisScJmArIGQMidlT8qglEUaEvAVAQqEA/KffvqpspU56tLUpyEBbxKQMidlT4xWFr0ZPsMiAY2A3WZ9i/6cp93jJwnYEVj/6CA7u95YsLz1hp7+n3V3edM/MddS6GwvJrYgXOPJp0iABEhA9wQoELrPYiaQBEiABFwjQIFwjRufIgESIAHdE6BA6D6LmUASIAEScI0ABcI1bnyKBEiABHRPgAKh+yxmAkmABEjANQIUCNe48SkSIAES0D2BoBWIwX3DsGRmLKYOirDL5Gij/cEZdo5oQQIkQAI6JxC0J8qlJ4bjlqmx2Hy8GkfyGlQ2i2BcOyYaQ5ONuFBmxr7MOrz7r0qYmuwP0tB5uWDy3ExAKiRzhkfhXKHJVt60IKRCUmtqX8bmjoxCWkIY/nm6FqXVTZpTfpKAVwkErUDszqiD/GlmwkAj7p+XgIwiE17bXoZrxkTjthlxaGhsxt/2VGrO+EkCLhHoaYXka2P74MoRUTh+sYEC4RJxPuQOAkErELOHReI7Vydg66kavL+/CimxYfj8RDXWHavG+SIzCsob8fStKRiWYrRxnj86GnfMiEVaYpj60e46X4e/761AIyt4Nka8cEyAFRLHXGjr3wSCViCijQakJYYjPipU5dAXZ2ohf5qZNjhSXeaWWo99vG5sNH56YxKqGyzY+FUNZgyNxJ2z4tC3Tyhe/Pyy9hg/ScAhAVcqJOKRMSwEv7g5CZPSIrAnsw7v76tEURVrJA4h09JlAnImtcVisXs+aAep7Ui0sVg4oQ9umRqjxGDNkSp1Z9mcOPX527UleGNHOR557xIam5rxtXHR6NuHGNvg46UDAo4qJH/aUqZaq+K8Y4VE8+L+ufGIiTCg0dKMmybG4I6Z1nKo3ecnCbiDgGwvLyLR0fDN1oHIDeOi8cj1iagzN+Pp1cUoq7XAGBqCAfFhaLI042yhST1hbgKySswwhIRA+pdpSMBVAo4qJJpfmSVmPPFJMX7+D+v51NOHWFu22n1+koAnCQRtF5MjqNePi8ajC/qitKYJT60uQXaJtXspLBRKXZuammFuM6NJBrDFhBnsldeR/7QjgY4EHFVI2ro5mF2vvl6qaFItWqmoSHGztJ/01PYRXpOA2wiwBdGCclBiGB65vi+q6iz4rw+LbOIgt2UKYnltk+oPHppsbS3Ij3RkqvVapsTSkEBPCbStkPzswyKcKrC2Ttv6U1bbOt7QYKYqtGXDa88TYAuihfF35icgLDQE8oO8a3ZrP29VvQVv7qyAjEXcNzcBD38tEf84UIVrx0YjMtyAvZl1HDT0fDnVXQgdKySFla1CoLvEMkEBS4AC0ZJ10nQXI4vk5E8zJdWNSiA+OlilBGHxlBg8/o1kmBub8cWZGrz2RbnmlJ8k0G0CXVVIuu0RHZKABwkErUB0nNb6H+9c6hRzowVYsbtC/SVGG1BRZ2E/cKfEeLMzAl1VSDp7lvdIwFsEglYgegNYZjbRkEBPCPS0QvLbdSV23t/3Zr6dHS1IwJMEOEjtSbr0mwRIgAQCmAAFIoAzj1EnARIgAU8SoEB4ki79JgESIIEAJkCBCODMY9RJgARIwJMEKBCepEu/SYAESCCACVAgAjjzGHUSIAES8CQBCoQn6dJvEiABEghgAhSIAM48Rp0ESIAEPEmAAtFNunONeyB/NCRAAiQQLATsVlKvf3RQsKS9R+lct+4o5FCNxxeTT4/AdeGY5c0KaN26dap8LV68uAtivE0C3iPAFoT3WDMkEiABEggoAhSIgMouRpYESIAE3E9AjhuVHpKOhgLRkQi/kwAJkECQEeCZ1EGW4UwuCZAACfSWAFsQvSXI50mABEhApwQoEDrNWCaLBEiABHpLgALRW4J8ngRIgAR0SoACodOMZbJIgARIoLcEKBC9JcjnSYAESECnBCgQOs1YJosESIAEekuAAtFbgnyeBEiABHRKgAKh04xlskiABEigtwQoEL0lyOdJgARIQKcEKBA6zVgmiwRIgAR6S4AC0VuCfJ4ESIAEdEqAAqHTjGWySIAESKC3BCgQvSXI50mABEhApwQoEJ1kbEZGBg4fPmznQuzkHg0JkAAJ6JkABaKT3E1KSsLJkyftXIid3KMhARIgAT0ToEB0krsJCQnqbnl5uc2Vdq3ds93gBQmQAAnojAAFoosMHTRoEPLy8myu5FrsaEiABEhA7wQoEF3kMAWiC0C8TQIkEPAEeCa1i1mYlpaGgoICdaC3nNsq12JHQwIkQAJ6IeDsTOowvSTQU+kwGo1qQLqpqUmJhAxOix0NCZAACeidALuYupHD0s1kNpthMpkwePDgbjxBJyRAAiQQ+AQoEN3IQxEImb1UWVmJ9PT0bjxBJyRAAiQQ+ATYxdSNPExNTYV0MYmRaxoSIAESCAYCFIhu5nJERARCQ0O76ZrOSIAESCDwCVAgupmH3/72t7vpks5IgARIQB8E7ATiWxd26CNlTIVHCHySfrVH/KWnJEAC/keAg9T+lyeMEQmQAAn4BQEKhF9kAyNBAiRAAv5HgALhf3nCGJEACZCAXxCgQPhFNjASJEACJOB/BCgQ/pcnjBEJkAAJ+AUBCoRfZAMjQQIkQAL+R4AC4X95whiRAAmQgF8QoED4RTYwEiRAAiTgfwTsFsr5XxQ9F6O6giIUfnkATfUNGH7vrQgxUC89R5s+kwAJBBqBoBWIxppafHbVXWg2mRE7ZhiG3b0YNTn5yP3kM4x77NuQE5ZoSIAESCCYCQRtlblox0ElDoOWfB3Xb1kBQ1gYMld8grMvvg00NwdzmWDaSYAEgoyAnCgnfx1NwLYgLh88jqz31qJw+36ERkYg9aoZGP+z7yAiKUGlsSojF1/95iVcPnwSIaEG9J0+AZOf+hH6DBmInI824/hvX1bu8jdtR8m+Y4gZlo7iXQeV3Wfz78aEnz6IkPAwHP/daxjz8D2oyc1H1t/XIH70MMz40+MoO3oKJ/53OYzxMRj/8++p8OXhqnPZOLf8fRRu34eIvglIv/V6jLj/doRGRSBjxSc4//oHGLr0Zox5+F6VIXu+8zgqz2Rh9ktPInHqOBU+/5EACZCANwk46zEJyBZEY20ddi77MQq/2ItRDy3FoNsWIGflWhz7zf8ppg0lZdi26Lso2rYHKVfNQNKsySj8fBe+uPUhmKtrETNkIPq2vIxjhqQh7eb5SJk3HSEt23kP/Pp8RA8eAEuDCXU5F5H1zico2r4PoRFGlO45giO//CO+evYVRPVPRvmR0zj08+dseXnoZ79H7qr1GH7/7YgakIKT//Mq8jduV/eHLl0EQ3goTv3xLVRn5iH3H5tQ+NlOJM+ZTHGwEeQFCZCAvxAIyBZE/aUSWGrrETt5LIb+2yKEx/ZB/+uugCHcmpzzb34IS00dht73TUx99seK9Z7vPoFLm75EzgcbMfKB2zHomwtQuGU3+s6ajIm/+r5yc/6ND2Cqb8DEXz2kxiBqsi8q+4bySty4YyXKj5/D9m/8hxKe+WteRd9p47Fp7p2ozy2ADHiHxfTBkDtvxvD7voVBty1E1bm5KozcTz5X30VgZr74OLYv/h4O/fz3qDybg4j+KZj89CP+Uh4YDxIgARKwEQjIFkSfYemIHjFY1ebXT1mMHf/2qOpKkm4iMRWnMtRn0oyJtoQmTrN231Sdz7bZdfciaeYk1bqIGz1MPRISYUTi5DHqOn7sCPVZk52vhCr5ymmoK76Mfz34Kxx5/AXrvdx89Sn/pBtp1MP34PKeY2i8XIEZL/xSPWdzwAsSIAES8BMCAdmCkP6yaz/5C86+ukrV5kt3H4b85X20GdeuWw6LyazwhkZH2TCHRkaq62Zzo82uuxfGxHjlVMYRxITF9rF1RxkijDZvGkrLseW6e2BMSsCwe78Jg9GI0n8dsd3XLrT4yffG6hrNmp8kQAIk4FcEArIFoQgaDBj3n/fja5/9FTfu+wfiJ41GxbEzkG6hmOGDlJPLR07ZYJcdOamu+wyz3rPdcHDR3Gg9f9rBrU6tcj/aDDRZMOLbt6u4Jc2YoNw3Wyy250r3f4WM5e8j5drZMPZLwqFf/AEiLDQkQAIk4G8EAlIgyo6cwoaJi3DgsWdx+dAJVGdfhLm2Hgg1qFlMMgaAkBBk/W01Mt/5FKdefBv5G7bDEB2JoXd+3WkeRKUmqXsZKz5WayKcOnRyIzI5Ud0p3LYHBZt34NhT/w+hcdGoLyhWg9KNdfU48Nj/QLqopv3vzzDlmUdVN9ORX/3RiY+0JgESIAHfEQjILibpxx//xA+Q/fc1+PLW7wPGMCTPmoRJv/wewuNi1N+cN/8HR5/8M461jAPEjh2Oqb/7CSJaXuKOkEu3kDxz4jcvQVoRmmA4cuvIbsCNVyHlmtko3r4PB8/mKAGoLy3Did++jF33/Qz9v3almhUlcY9O66f+cq67AgUbtuPC6q1qSqwjf2lHAiRAAr4gENLcYXVEoJ1Jba6qUdNPDcZwh/xM5VUwGMMQ1mY8wqHDFsumugZ1pY03dObW2T2JU1hMtG01tvgZEh6qFuM5eyZQ7HkmtWdyat26dWpdzOLFiz0TAH0lgU4IOCt/AdmCaJtOmeLamTEmxHZ22+5eb4RB86xjnNzhp+Y3P0mABEjA3QSkneBosVxAjkG4Gw79IwESIIFgJiDi0KEzSeGgQARzqWDaSYAESKATAhSITuDwFgmQAAkEMwEKRDDnPtNOAiRAAp0QoEB0Aoe3SIAESCCYCVAggjn3mXYSIAES6IQABaITOLxFAiRAAsFMgAIRzLnPtJMACZBAJwTsFspxpaxjWs5WGjp2TVsSIAESCBwCsg7C0mZTUS3mbEFoJPhJAiRAAkFKgCupgzTjmWwSIAEScJUAWxCukuNzJEACJKBzAhQInWcwk0cCJEACrhKgQLhKjs+RAAmQgM4JUCB0nsFMHgmQAAm4SoAC4So5PkcCJEACOidAgdB5BjN5JEACJOAqAQqEq+T4HAmQAAnohAAPDNJJRjIZJEACJOBuAlwo526i9I8ESIAEdE6AXUw6z2AmjwRIgARcJUCBcJUcnyMBEiABnROgQOg8g5k8EiABEnCVAAXCVXJ8jgRIgAR0ToACofMMZvJIgARIwFUCFAhXyfE5EiABEtAJAU5z1UlGMhkkQAIk4G4CXCjnAtGMjAwcPnzY7kmxk3s0JNAbAixfvaHHZ71BgF1MnVBOSkrCyZMn7VyIndyjIYHeEGD56g09PusNAhSITignJCSou+Xl5TZX2rV2z3aDFyTQQwJaGdLKlDyuXWv3euglnZOAWwlQILrAOWjQIOTl5dlcybXY0ZCAOwiwfLmDIv3wFAEKRBdk+QPuAhBv94oAy1ev8PFhDxOgQHQBOC0tDQUFBZBpYPIn12JHQwLuIMDy5Q6K9MNTBMI85bFe/DUajWpAuqmpSQmEDCyKHQ0JuIMAy5c7KNKP3hKQaa4Wi8XOG7Yg7JDYW0g3gNlshslkwuDBg+0d0IYEekGA5asX8PioWwhwoVwvMMoPWGaXVFZWIj09vRc+8VESsCfA8mXPhDb+QYBdTN3Ih9TUVEgXkxi5piEBdxJg+XInTfrlTgIUiG7SjIiIQGhoaDdd0xkJ9IwAy1fPeNG1dwiENEvnUxtTu3JEm2+8JIH2BKLvcu8WIyxv7fnyW3sC7i5v7X3nN43AunXr1CScxYsXa1bqk4PU7XDwCwmQAAmQgEaAAqGR4CcJkAAJkEA7AhSIdjj4hQRIgASCjwC3+w6+PGeKSYAESKBbBLgOoluY6IgESIAESEAjwC4mjQQ/SYAESIAE2hGgQLTDwS8kQAIkQAIaAQqERoKfJEACJEAC7QhQINrh4BcS6B6BT/dW4/nVZbhY2ujwAYulWd1/dXOFw/tieeqCSbnZ+lWtQzcycChhvLyp9URDhw5pSQIeIkCBcABWfpQnL5gc3HHdKuOSGc/+47Jarei6L3zSXwi8t7MST79fhtwSs8MoNVmAVzaV4+1tzgXieG6D8mPDwRqHfliaoe4/90mZw/u0JAF3EeA0126S3HO2Xv0oT+a5VyBe+6wC//NxOdpvbNLNSNFZwBEIDwtB5ivDsOd/uT18wGVeEEY4KKa51pks+Pm7JZjwaDaS/z0T836VhzX7q23Z/dY/KzHpsRy8va3SZvfYX4uV3aHMekh3wJ3P56t7P1tRjO+8fAmVtRZ1/7bn8rH+YA1m/iwXKfdn4gfLC2FutG5jtfSFAuWmoMza3SDdCxLOdU9az7KWZ5d/bg1zyk9y8cHuKlv4vAhsAvXmZtzz5wIM+V4WHn69EDnF1hZFY5O1DFz/1AVbAk9fNOHaX+dhwAOZuOP5fFW2bDcB1JsseOi1QqQ9mIkrf5GLnafq295W1yWVTXjgL5cw7KEs9ffD1wsh5V7MJ3urVblb8UUl/rSuHKMfzsbC31zA5iOOWyh2ntOCBDoQ0FUX031/voSXNlYiOsKAB66Pw9l8M+56sQgbD1t/IGXVTcgsbEJ5TevJSfJSF7s6UzNGDwzHoJRwhWjGiAjMHRON8DCo+ztO1uPHbxfj+snRCDMAK76owV82WbsP8kqsfmiCIbIhfmYVWgXj2gnWZ8TjW2bFYGhLGB3ygl8DkMCvV5aivNqCsFDgr9tq8MJa63iBtBRVGSiyCobU0EQU9meYMWWoEfHRBjy1qlSlWNst89mPyvDu9hpEGENw7cRofH95oR2RJX/Ix/u7arFsfhzuuSYOb2+rwaNvFit3IlYS5l+3VuD1z8sxPDUMu86Y8N2/FLJr044kLbpDQDcCcTS7ARsO1yM5NgT7fj8Iz92XjJf/I0UxeGF19/pwvzYpGvPGRqlnll4Vp0QmzBCivteagL8/2h+/vzcZL3/PeibEh91sCTyyKAHxfaz+/Pauvpg9KrI7eUM3AUBg6lAj1j2ehs+fsh4k9flRx7V16brMKrIgPcmATU+m480f9sfCadHtUvj3L62tzA9/OgC/uycZz91rLb+ao71n67HvvBlzRobj2WVJ+O+7knDFKCNW7qyBVH6sJQzIKW7E4T8OUeFMHRKG0hrgSJZ7u0y1OPFT3wR0IxAnWsYMZo+MgAy4iJk10voiltkivTWhIcDkoRHKm6ktn7kt3Qm99ZvPBy6BBVP6qMgP7xeOuEh5OVsg3UsdTXaxtTUprQfNzBjeWlFoMDejsML63PhBVjfSim1rzhZYy/H5AjOueSJP/cnkBxnMzmppqYj7+ROiYAyz/gamDbf6ce5S738DbePC6+AgoJsDg+QHJqZPZKvmRUVYfyQm62Fwthxt+wOuqWvtbrI5cHARaQTCW84Ligi3+iszVdqaxpbv1fUdbrR1xGtdEUiNbz1ESspbZb29OEiCTS3jVdHG1vKplaO296X7Unu5a58aMHPLjNoBfcOwYKpVmLR7cVGt/qbGt/6soyJa46e55ScJdJdAa0nq7hN+6m7UAOvYwYGM1oG9/ecaVGy1e/0TrMk9kWe1F6HY0+KmY7KapFrWxtQ0AOcvmTFqgBHHcqzPpyVZ/eufID9CM2Tmk9Qkd51ujUMbL9RlYxPUuEZHe37XN4GBidayopUdSa1MjNBMbJQB0UZAujLP5JsxPt2IQ5nWcqa5GZJq9UNmSD1xR19lLZWRaGMIDIYQHMho7157jp8k0BUB6XWxWOwrtq3Vjq588PP7c8dEYvLgMNXP+8ibxXh/VxUef69ExfrhmxPU59cmWccX1u6vxe8+voxv/m8+EmOsCDQ2/ROtNa5/7K7C/vOtP2AZivjh8iJ8tKcaT660Di7eOjtG+XtDSzfDU6tK8OLaMrXeQWqCMptJM5o4vfZ5BbIKHc+d19zyU38E5o2NRGyEvPybIAPbL20sx5p91vEKberzN2ZaxyR+/Ja1nD29ylp+tXI0f1wUBiUZcCTLjD+uKcOWY7UY96NszP1VHrQWtP7IMUXeIKD7aa5Sg1r1kwG4fmIE3txahQf+UozSyib8/t6+WDrP+iIfkBiGX3wrAVFG4LlPyjFzZCS0l7zMABHzzdkxGJxsUAPeP33bOjtE7PslhODGaX3wH68U4cSFRiycHIlHWoTnm7P7YPHMKPXj/78N5WqAMSk2BHVtdOC7C+IRFQ78/N3LWL3f8UCmNwoCw/ANAZlZ9+pDqaqV8MLaCqzYVolnliWryDSYrTW3Z5YmYXx6GHacNuGR14vw2C19VZnRypG0HKSMTxwchidXleH25y5BxivefbQ/2nZX+SaFDFWPBHR5JrXUpirrLEiJc9z/qtW2OvtRyayQxJhQtdYh4b4s9Iu3LnySqay1Jgvio+39ljUTcdHOG2XafPWoNv3QgVao3H1GcLCdSS1dl1JOpGw5M7LWISnWYJts4cid+CFTsAO5LDlKV0c7d5e3jv7zu5WAszOprZ2aOqMkL/4UbUTZQdo6EwbNubMfsNTi4mXSuwPTmTiIc73/mB0goVUHAqGGkE7FQZwnO6nYtPWqq7LW1i2vScBVAs6ru676qMPnUuNCnLZGdJhcJokESIAEFAFdtiDcmbfSYsh6dZg7vaRfJEACJBAQBNiCCIhsYiRJgARIwHMEdD+LyXPo6DMJkAAJ6JsAt/vWd/4ydSRAAiTgdgLsYnI7UnpIAiRAAvogQIHQRz4yFSRAAiTgdgIUCLcjpYckQAIkoA8CdtNcuXJRHxkbKKlgebPm1MaNG1FbW4vbb789ULKO8dQRAZPJhMjI1u3ntaSxBaGR4CcJ+JBAbGws6utbN4f0YVQYdBASaGhoQJ8+7beQFwwUiCAsDEyy/xGIj4+H1OJoSMAXBKTsxcRYNzVtGz4Foi0NXpOAjwgkJCSgsbHlRCAfxYHBBi8Bs9kMacV2NBSIjkT4nQR8QEAEwtGBLT6ICoMMQgJS9qQVg8U7sAAAB5VJREFU29FQIDoS4XcS8AEBqb2Fhobi5MmTPgidQQYzAWm5ylYbiYmJdhgoEHZIaEECviGQmpqK06dP+yZwhhq0BI4ePYqIiAgYjUY7BhQIOyS0IAHfEBg/fjxKS63H2fomBgw1GAlkZ2cjJSXFYdIpEA6x0JIEvE9g5MiRahziwoUL3g+cIQYtgcuXL2PUqFEO00+BcIiFliTgGwLSzbR7927fBM5Qg46AtFhlgHr06NEO006BcIiFliTgGwILFy5EWVkZLl265JsIMNSgInDw4EGH01s1CBQIjQQ/ScAPCMhq1vT0dPzzn//0g9gwCnomILOXsrKycOWVVzpNJgXCKRreIAHfELj++utRVVUFGTykIQFPEfjyyy8RFRWFYcOcH6lMgfAUffpLAi4SkE3T5Ee7bds2Lp5zkSEf65yAjDucP38eM2bM6NQhBaJTPLxJAr4hIGMRYWFh+Pjjj30TAYaqawJ79uxR5WvChAmdppMC0Ske3iQB3xH41re+pQasOR7huzzQY8gyCeKrr77CvHnzukweBaJLRHRAAr4hILtrXnfddTh79ixycnJ8EwmGqjsCa9asQVpaGsaMGdNl2igQXSKiAxLwHQFZPDdnzhxs3rwZ+fn5vosIQ9YFgS1btqhdg2+++eZupYcC0S1MdEQCviMwbdo0tZBp3bp1FAnfZUPAhywr9DMyMnDjjTfCYOjeq797rgIeDRNAAoFN4Nprr1UisXbtWhQXFwd2Yhh7rxMoLCzEhg0bMG7cOLXOprsRCGmWfV5pSIAEAoLAF198ocYkrrnmmm71IQdEohhJjxKQ7TRkNpxMnb7hhht6FBYFoke46JgEfE9ApijKFs0yPiGL6mhIwBmB8vJyfPjhh2pQurvjDm39okC0pcFrEggQAjJgLV0GMtPpjjvuUHPaAyTqjKaXCJSUlKiWQ79+/XDrrbe6FCoFwiVsfIgEfE+gvr4eH330EeRzwYIFGDx4sO8jxRj4BQE5eEq6I6dMmdLpXktdRZYC0RUh3icBPycgUxdldkr//v2xaNEitib8PL88HT0RhjNnzmDmzJldbqXRVVwoEF0R4n0SCAACMhC5ceNG1NXV4YorrsCkSZMCINaMojsJyO6sq1evhhwA9PWvf71Hs5WcxYMC4YwM7UkgAAnI/v7yl5CQoAawk5KSAjAVjHJPCZw6dQo7d+5U50ovWbIE0dHRPfXCoXsKhEMstCSBwCUgYxLr16+HDFImJycroRDBoNEfgdraWpXXsr/S5MmTVevRnamkQLiTJv0iAT8iIC+NrVu3QrqfZCaLDGTLgUQ0+iBw6NAh7N+/H4mJiWrsyRN5S4HQR1lhKkjAKQFZeS1nS4hgiFBcddVVqmXh9AHe8GsCshPrgQMH0NTUhLlz52L8+PEeiy8FwmNo6TEJ+BcBOeda+qmlRSG1zalTp2LixIn+FUnGxikBTRhkMHrs2LFqu+7u7qnk1NMublAgugDE2ySgNwIyRiFCIUeayk47o0aNUn3XcpIdjf8ROHLkCOTPbDZ7TRg0ChQIjQQ/SSAICciWHceOHUNNTQ3i4uLU9h3Tp0/nWgoflwXpDty9e7favTckJERt1Chdg55uMXRMNgWiIxF+J4EgJFBVVaUGPHNzc9HQ0KDEQvq2ZSUujfcISDeSiLYItsw807Z6914M2odEgWjPg99IIOgJyBiFzI65ePGiOlwmNjZWbeMhYiHXNO4jYLFY1PGfcmqgtBqkhTB8+HDV5eeutQy9iS0Fojf0+CwJ6JyArKWQLigRC5lzHxYWpmZCySCp7CZL03MCMsgsYwrnz59HRUUFwsPD1TYpso4hPT295x568AkKhAfh0msS0BMBebHJit1z586p7Rzke1RUFGS1tmwUOHr0aHCg2z7HTSaT2hspKytLzSCTLjzhJOdCSxeSLGb0V0OB8NecYbxIwM8JSD+57Boq4xbSPSKzbEJDQ1XfeUpKCgYMGIChQ4eq7R/8PClujZ500ckMMdmSXVpgIhDS8urbt686tEdaX4EipBQItxYNekYCwUtAWhSyq6zUlGXDOOmSksVcMgtH+tNl0FVEQxbryc6z8tIMZCPplbUlOTk5KCoqQmVlpdp6XdIkAhAfH68EMpAEoWN+UCA6EuF3EiABtxGQQdi8vDz1Jyu6pc9datSy/kKEQ/rf5WUqg9+yZYTUsuXFKmLi60Faibu0jCTOIgByLSIgwietJUmDDCpLN5smftJi0tMGiRQIt/0U6BEJkEB3CcjLV166IhrSJSMvX9mqXBbxSc1cXr5i5AUsfyIkERER6lO6seS70WhUf2Ivf2IvoqP9aXHRXuTyUhf/5VP7k7A0exEuuZZWj/yJEb8kfBExESwRLxExaQmlpqaqe1o4evykQOgxV5kmEtABAXmZy5nKIh6yTkPGPGSAt+3LXV7wIjbyQpdPMVrrREOgfdde9iIkmujItXR1iQDI9iPSktFaMyIGwW4oEMFeAph+EiABEnBCwODEntYkQAIkQAJBToACEeQFgMknARIgAWcEKBDOyNCeBEiABIKcAAUiyAsAk08CJEACzghQIJyRoT0JkAAJBDmB/w8swCigxhtyJAAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "\n",
    "class multiRNN(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super(multiRNN, self).__init__()\n",
    "\n",
    "        self.hidden_size = hidden_size\n",
    "        \n",
    "        self.i2h = nn.Linear(input_size + hidden_size, hidden_size)\n",
    "        self.i2o = nn.Linear(input_size + hidden_size, output_size)\n",
    "        \n",
    "        self.i2h2 = nn.Linear(hidden_size, hidden_size)\n",
    "        self.i2o2 = nn.Linear(output_size, output_size)\n",
    "        \n",
    "        self.softmax = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, input, hidden):\n",
    "        combined = torch.cat((input, hidden), 1)\n",
    "#         print(\"combined\", combined.size())\n",
    "        hidden = self.i2h(combined)        \n",
    "        output = self.i2o(combined)\n",
    "        hidden = self.i2h2(hidden)\n",
    "        output = self.i2o2(output)\n",
    "        output = self.softmax(output)\n",
    "        return output, hidden\n",
    "\n",
    "    def initHidden(self):\n",
    "        return torch.zeros(1, self.hidden_size)\n",
    "\n",
    "n_hidden = 128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = nn.Linear(20, 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#n_letters = 57\n",
    "#n_hidden = 128\n",
    "rnn = multiRNN(n_letters, n_hidden, n_categories)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([6, 1, 57])\n",
      "tensor([[-2.9420, -2.9645, -2.8938, -2.8867, -3.0378, -2.9929, -2.9170, -2.7082,\n",
      "         -2.9702, -2.7455, -2.9843, -3.0152, -2.8266, -2.6937, -2.8032, -2.8422,\n",
      "         -2.8487, -3.0599]], grad_fn=<LogSoftmaxBackward>)\n",
      "torch.Size([1, 18])\n"
     ]
    }
   ],
   "source": [
    "input = line_to_tensor('Albert')\n",
    "print(input.size())\n",
    "hidden = torch.zeros(1, n_hidden)\n",
    "\n",
    "output, next_hidden = rnn(input[0], hidden)\n",
    "print(output)\n",
    "print(output.size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n",
      "500 2% (0m 1s) 3.0284 Lawniczak / Portuguese ✗ (Polish)\n",
      "15\n",
      "1000 4% (0m 2s) 2.7772 Houtum / Dutch ✓\n",
      "2\n",
      "1500 6% (0m 3s) 2.9526 Chai / Arabic ✗ (Chinese)\n",
      "16\n",
      "2000 8% (0m 4s) 2.7579 Park  / Korean ✓\n",
      "1\n",
      "2500 10% (0m 5s) 3.0298 Janicek / German ✗ (Czech)\n",
      "1\n",
      "3000 12% (0m 6s) 2.8120 Minnibaev / German ✗ (Russian)\n",
      "12\n",
      "3500 14% (0m 7s) 2.7692 Sugai / Italian ✗ (Japanese)\n",
      "12\n",
      "4000 16% (0m 8s) 2.4960 Benedetti / Italian ✓\n",
      "11\n",
      "4500 18% (0m 9s) 2.9331 Hawes / Greek ✗ (English)\n",
      "2\n",
      "5000 20% (0m 10s) 2.8526 Shon / Arabic ✗ (Korean)\n",
      "12\n",
      "5500 22% (0m 11s) 2.9017 Elcock / Italian ✗ (English)\n",
      "11\n",
      "6000 24% (0m 12s) 1.8830 Demarchis / Greek ✓\n",
      "3\n",
      "6500 26% (0m 14s) 2.8170 Herrera / Japanese ✗ (Spanish)\n",
      "11\n",
      "7000 28% (0m 15s) 1.4035 Adamidis / Greek ✓\n",
      "9\n",
      "7500 30% (0m 16s) 2.9532 Cerney / English ✗ (Czech)\n",
      "5\n",
      "8000 32% (0m 17s) 2.5755 Chu / Vietnamese ✓\n",
      "9\n",
      "8500 34% (0m 18s) 2.6359 Soucy / English ✗ (French)\n",
      "12\n",
      "9000 36% (0m 19s) 3.0150 Abadi / Italian ✗ (Arabic)\n",
      "9\n",
      "9500 38% (0m 20s) 2.9393 Silje / English ✗ (Dutch)\n",
      "1\n",
      "10000 40% (0m 21s) 2.3623 Faucher / German ✗ (French)\n",
      "9\n",
      "10500 42% (0m 23s) 2.6688 Lindsay / English ✗ (Scottish)\n",
      "1\n",
      "11000 44% (0m 24s) 2.5399 Schoorel / German ✗ (Dutch)\n",
      "1\n",
      "11500 46% (0m 25s) 2.4536 Vliert / German ✗ (Dutch)\n",
      "4\n",
      "12000 48% (0m 26s) 1.4734 Kwong / Chinese ✓\n",
      "13\n",
      "12500 50% (0m 27s) 2.1718 Bando / Portuguese ✗ (Japanese)\n",
      "12\n",
      "13000 52% (0m 28s) 2.6750 Sitko / Italian ✗ (Polish)\n",
      "16\n",
      "13500 54% (0m 29s) 2.2151 Ton / Korean ✗ (Vietnamese)\n",
      "1\n",
      "14000 56% (0m 30s) 3.2837 Sierzant / German ✗ (Polish)\n",
      "4\n",
      "14500 57% (0m 31s) 1.2364 Chou / Chinese ✗ (Korean)\n",
      "6\n",
      "15000 60% (0m 33s) 2.9835 Kalbfleisch / Russian ✗ (German)\n",
      "7\n",
      "15500 62% (0m 34s) 2.6819 Maalouf / French ✗ (Arabic)\n",
      "8\n",
      "16000 64% (0m 35s) 2.0170 Mclean / Irish ✗ (Scottish)\n",
      "11\n",
      "16500 66% (0m 36s) 2.4434 Barros / Greek ✗ (Portuguese)\n",
      "6\n",
      "17000 68% (0m 37s) 1.8359 Mackay / Russian ✗ (Scottish)\n",
      "15\n",
      "17500 70% (0m 38s) 1.8958 Nuremberg / Dutch ✗ (German)\n",
      "13\n",
      "18000 72% (0m 39s) 1.2523 Coelho / Portuguese ✓\n",
      "8\n",
      "18500 74% (0m 40s) 3.3972 Pavone / Irish ✗ (Italian)\n",
      "1\n",
      "19000 76% (0m 41s) 1.5061 Hausler / German ✓\n",
      "1\n",
      "19500 78% (0m 42s) 2.3220 Savatier / German ✗ (French)\n",
      "1\n",
      "20000 80% (0m 43s) 2.2138 Bisset / German ✗ (French)\n",
      "1\n",
      "20500 82% (0m 45s) 1.9228 Gaber / German ✗ (Arabic)\n",
      "4\n",
      "21000 84% (0m 46s) 1.1451 Luu / Chinese ✗ (Vietnamese)\n",
      "14\n",
      "21500 86% (0m 47s) 2.7898 Wornhor / Scottish ✗ (German)\n",
      "11\n",
      "22000 88% (0m 48s) 0.0778 Matsoukis / Greek ✓\n",
      "5\n",
      "22500 90% (0m 49s) 0.9892 Thuy / Vietnamese ✓\n",
      "16\n",
      "23000 92% (0m 50s) 1.1427 Ho / Korean ✗ (Vietnamese)\n",
      "14\n",
      "23500 94% (0m 51s) 1.8514 Login / Scottish ✗ (Irish)\n",
      "5\n",
      "24000 96% (0m 52s) 3.0223 Bruhn / Vietnamese ✗ (German)\n",
      "9\n",
      "24500 98% (0m 53s) 1.8740 Lacy / English ✓\n",
      "2\n",
      "25000 100% (0m 55s) 0.7653 Ghannam / Arabic ✓\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import math\n",
    "\n",
    "learning_rate = 0.005 # If you set this too high, it might explode. If too low, it might not learn\n",
    "def train(category_tensor, line_tensor):\n",
    "    hidden = rnn.initHidden()\n",
    "\n",
    "    rnn.zero_grad()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = rnn(line_tensor[i], hidden)\n",
    "\n",
    "    loss = criterion(output, category_tensor)\n",
    "    loss.backward()\n",
    "\n",
    "    # Add parameters' gradients to their values, multiplied by learning rate\n",
    "    for p in rnn.parameters():\n",
    "        p.data.add_(-learning_rate, p.grad.data)\n",
    "    return output, loss.item()\n",
    "\n",
    "n_iters = 25000 # 这个数字你可以调大一些\n",
    "print_every = 500\n",
    "plot_every = 100\n",
    "\n",
    "\n",
    "# Keep track of losses for plotting\n",
    "current_loss = 0\n",
    "all_losses = []\n",
    "\n",
    "def time_since(since):\n",
    "    now = time.time()\n",
    "    s = now - since\n",
    "    m = math.floor(s / 60)\n",
    "    s -= m * 60\n",
    "    return '%dm %ds' % (m, s)\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "for iter in range(1, n_iters + 1):\n",
    "    category, line, category_tensor, line_tensor = sample_trainning()\n",
    "    output, loss = train(category_tensor, line_tensor)\n",
    "    current_loss += loss\n",
    "\n",
    "    # Print iter number, loss, name and guess\n",
    "    if iter % print_every == 0:\n",
    "        guess, guess_i = category_from_output(output)\n",
    "        correct = '✓' if guess == category else '✗ (%s)' % category\n",
    "        print('%d %d%% (%s) %.4f %s / %s %s' % (iter, iter / n_iters * 100, time_since(start), loss, line, guess, correct))\n",
    "\n",
    "    # Add current loss avg to list of losses\n",
    "    if iter % plot_every == 0:\n",
    "        all_losses.append(current_loss / plot_every)\n",
    "        current_loss = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11b35c990>]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(all_losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "> Dovesky\n",
      "(-0.86) Russian\n",
      "(-1.92) Polish\n",
      "(-2.01) Scottish\n",
      "\n",
      "> Jackson\n",
      "(-1.39) Scottish\n",
      "(-1.66) English\n",
      "(-1.80) Irish\n",
      "\n",
      "> Satoshi\n",
      "(-0.64) Japanese\n",
      "(-1.53) Italian\n",
      "(-2.29) Polish\n"
     ]
    }
   ],
   "source": [
    "def evaluate(line_tensor):\n",
    "    hidden = rnn.initHidden()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = rnn(line_tensor[i], hidden)\n",
    "\n",
    "    return output\n",
    "\n",
    "def predict(input_line, n_predictions=3):\n",
    "    print('\\n> %s' % input_line)\n",
    "    with torch.no_grad():\n",
    "        output = evaluate(line_to_tensor(input_line))\n",
    "\n",
    "        # Get top N categories\n",
    "        topv, topi = output.topk(n_predictions, 1, True)\n",
    "        predictions = []\n",
    "\n",
    "        for i in range(n_predictions):\n",
    "            value = topv[0][i].item()\n",
    "            category_index = topi[0][i].item()\n",
    "            print('(%.2f) %s' % (value, all_categories[category_index]))\n",
    "            predictions.append([value, all_categories[category_index]])\n",
    "\n",
    "predict('Dovesky')\n",
    "predict('Jackson')\n",
    "predict('Satoshi')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 将原始的RNN模型改成nn.LSTM和nn.GRU， 并且改变 `n_iters = 1000 ` 这个值，观察其变化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "\n",
    "class LSTM(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super(LSTM, self).__init__()\n",
    "\n",
    "        self.hidden_size = hidden_size\n",
    "        \n",
    "        self.lstm = nn.LSTM(\n",
    "            input_size = input_size,\n",
    "            hidden_size = hidden_size,\n",
    "            num_layers=1\n",
    "        )\n",
    "#         self.i2h = nn.Linear(input_size + hidden_size, hidden_size)\n",
    "        self.output = nn.Linear(hidden_size, output_size)       \n",
    "        self.softmax = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, input, hidden):   \n",
    "        output,hidden = self.lstm(input,hidden)\n",
    "        output = self.output(output[:,-1,:])\n",
    "        output = self.softmax(output)\n",
    "        return output, hidden\n",
    "\n",
    "    def initHidden(self, batch_size):\n",
    "#         return torch.zeros(1, self.hidden_size)\n",
    "        \n",
    "    \n",
    "    \n",
    "        \n",
    "        return (torch.rand(1,batch_size,self.hidden_size),\n",
    "            torch.rand(1,batch_size,self.hidden_size))\n",
    "#         return torch.rand(1,batch_size,self.hidden_size)\n",
    "                    \n",
    "\n",
    "\n",
    "n_hidden = 128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "lstm = LSTM(n_letters, n_hidden, n_categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input.size: torch.Size([6, 1, 57])\n",
      "input.size(1): 1\n",
      "hidden: (tensor([[[0.4992, 0.5348, 0.9448, 0.6685, 0.0888, 0.3515, 0.4355, 0.1041,\n",
      "          0.3243, 0.2942, 0.2352, 0.7705, 0.3835, 0.8411, 0.2235, 0.5022,\n",
      "          0.6835, 0.1786, 0.4302, 0.3432, 0.6253, 0.6860, 0.8828, 0.0765,\n",
      "          0.4169, 0.7044, 0.7864, 0.6442, 0.7181, 0.1837, 0.8049, 0.2851,\n",
      "          0.5440, 0.7707, 0.1689, 0.8576, 0.6081, 0.4398, 0.0543, 0.6043,\n",
      "          0.4527, 0.0972, 0.3088, 0.9093, 0.5357, 0.3960, 0.5188, 0.2122,\n",
      "          0.8009, 0.7934, 0.6754, 0.0437, 0.8218, 0.5845, 0.3336, 0.1170,\n",
      "          0.8315, 0.8773, 0.6209, 0.8325, 0.3932, 0.0514, 0.2053, 0.8576,\n",
      "          0.5315, 0.0866, 0.9293, 0.3728, 0.8351, 0.6212, 0.8634, 0.6376,\n",
      "          0.2141, 0.5234, 0.7301, 0.5286, 0.1103, 0.7380, 0.9730, 0.9021,\n",
      "          0.8670, 0.2969, 0.6142, 0.8254, 0.7132, 0.2885, 0.3021, 0.5687,\n",
      "          0.1413, 0.4252, 0.6286, 0.9470, 0.8933, 0.8486, 0.7434, 0.1962,\n",
      "          0.4765, 0.6381, 0.2319, 0.2035, 0.1248, 0.2560, 0.6184, 0.4566,\n",
      "          0.7946, 0.2792, 0.5328, 0.0229, 0.9303, 0.9440, 0.5539, 0.3147,\n",
      "          0.9173, 0.1616, 0.5305, 0.6273, 0.0568, 0.5638, 0.6536, 0.9622,\n",
      "          0.8676, 0.3488, 0.1227, 0.4963, 0.4004, 0.6815, 0.2208, 0.4194]]]), tensor([[[0.3116, 0.9875, 0.4470, 0.8437, 0.8359, 0.8474, 0.0880, 0.0854,\n",
      "          0.5845, 0.2583, 0.4904, 0.2274, 0.2870, 0.2164, 0.4390, 0.2479,\n",
      "          0.1334, 0.6195, 0.3624, 0.9946, 0.7402, 0.7931, 0.2560, 0.7319,\n",
      "          0.9337, 0.5180, 0.9416, 0.1039, 0.0381, 0.7005, 0.7807, 0.4274,\n",
      "          0.7242, 0.3190, 0.7192, 0.4893, 0.3771, 0.5293, 0.0441, 0.2346,\n",
      "          0.6536, 0.0259, 0.4238, 0.5448, 0.4628, 0.7671, 0.0656, 0.6494,\n",
      "          0.8748, 0.0029, 0.1087, 0.6930, 0.1788, 0.5102, 0.0640, 0.2435,\n",
      "          0.0478, 0.9972, 0.2405, 0.4853, 0.2665, 0.3824, 0.7838, 0.6086,\n",
      "          0.4926, 0.1083, 0.1898, 0.9395, 0.6921, 0.6797, 0.3023, 0.0020,\n",
      "          0.0705, 0.8690, 0.7592, 0.8780, 0.7557, 0.2768, 0.5407, 0.4546,\n",
      "          0.2415, 0.2332, 0.1527, 0.9532, 0.7619, 0.1887, 0.9999, 0.2969,\n",
      "          0.8983, 0.8484, 0.2538, 0.9475, 0.9356, 0.1535, 0.4839, 0.4497,\n",
      "          0.4609, 0.5350, 0.3532, 0.2666, 0.3243, 0.1702, 0.5758, 0.9502,\n",
      "          0.5125, 0.9665, 0.5078, 0.9501, 0.8566, 0.6708, 0.8638, 0.6634,\n",
      "          0.4340, 0.2556, 0.3727, 0.3082, 0.2098, 0.8479, 0.7091, 0.9489,\n",
      "          0.7101, 0.6195, 0.6419, 0.9657, 0.1112, 0.7871, 0.1321, 0.8309]]]))\n",
      "tensor([[-2.6516, -2.9163, -2.6869, -2.9899, -2.9267, -2.9909, -2.8683, -2.8073,\n",
      "         -2.8817, -2.9442, -3.0460, -2.8740, -3.0607, -2.9585, -2.8434, -2.8453,\n",
      "         -3.1587, -2.7229]], grad_fn=<LogSoftmaxBackward>)\n",
      "torch.Size([1, 18])\n"
     ]
    }
   ],
   "source": [
    "#测试LSTM\n",
    "input = line_to_tensor('Albert')\n",
    "hidden = lstm.initHidden(input.size(1))\n",
    "print(\"input.size:\", input.size())\n",
    "print(\"input.size(1):\", input.size(1))\n",
    "print(\"hidden:\",hidden)\n",
    "output, next_hidden = lstm(input[0].reshape(-1,1,57),hidden)\n",
    "print(output)\n",
    "print(output.size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "         0., 0., 0.]])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15\n",
      "500 0% (0m 2s) 2.8390 Flater / Dutch ✗ (German)\n",
      "15\n",
      "1000 1% (0m 4s) 2.9254 French / Dutch ✗ (English)\n",
      "13\n",
      "1500 1% (0m 6s) 2.8461 Oorschot / Portuguese ✗ (Dutch)\n",
      "13\n",
      "2000 2% (0m 8s) 2.9466 Munro / Portuguese ✗ (Scottish)\n",
      "4\n",
      "2500 2% (0m 11s) 2.7246 Loh / Chinese ✓\n",
      "13\n",
      "3000 3% (0m 13s) 2.9052 Shim / Portuguese ✗ (Korean)\n",
      "4\n",
      "3500 3% (0m 15s) 2.8143 Tong / Chinese ✗ (Vietnamese)\n",
      "8\n",
      "4000 4% (0m 17s) 2.8949 Jensen / Irish ✗ (English)\n",
      "6\n",
      "4500 4% (0m 20s) 2.7241 Jaskolski / Russian ✗ (Polish)\n",
      "0\n",
      "5000 5% (0m 22s) 2.8570 Hiraki / Czech ✗ (Japanese)\n",
      "5\n",
      "5500 5% (0m 24s) 2.9852 Beek / Vietnamese ✗ (Dutch)\n",
      "8\n",
      "6000 6% (0m 26s) 2.8492 Simoes / Irish ✗ (Portuguese)\n",
      "7\n",
      "6500 6% (0m 29s) 2.8328 Hautum / French ✗ (Dutch)\n",
      "11\n",
      "7000 7% (0m 31s) 3.0143 Zamorano / Greek ✗ (Spanish)\n",
      "11\n",
      "7500 7% (0m 33s) 2.7769 Shamarin / Greek ✗ (Russian)\n",
      "16\n",
      "8000 8% (0m 35s) 3.1630 Rios / Korean ✗ (Portuguese)\n",
      "11\n",
      "8500 8% (0m 37s) 2.0773 Kotsiopoulos / Greek ✓\n",
      "16\n",
      "9000 9% (0m 39s) 1.3731 She / Korean ✗ (Chinese)\n",
      "14\n",
      "9500 9% (0m 42s) 3.0063 Mckay / Scottish ✗ (Irish)\n",
      "12\n",
      "10000 10% (0m 44s) 2.7589 Mcavoy / Italian ✗ (English)\n",
      "12\n",
      "10500 10% (0m 46s) 2.7286 Abarca / Italian ✗ (Spanish)\n",
      "12\n",
      "11000 11% (0m 48s) 2.7188 Taylor / Italian ✗ (Scottish)\n",
      "5\n",
      "11500 11% (0m 50s) 2.0213 Diep / Vietnamese ✓\n",
      "7\n",
      "12000 12% (0m 53s) 2.8829 Kistner / French ✗ (German)\n",
      "0\n",
      "12500 12% (0m 55s) 2.8188 Rettig / Czech ✗ (German)\n",
      "5\n",
      "13000 13% (0m 57s) 3.5754 Paul / Vietnamese ✗ (French)\n",
      "3\n",
      "13500 13% (0m 59s) 2.6009 Cairns / Japanese ✗ (English)\n",
      "2\n",
      "14000 14% (1m 2s) 2.8486 Thean / Arabic ✗ (Chinese)\n",
      "12\n",
      "14500 14% (1m 4s) 2.7129 Tomori / Italian ✗ (Japanese)\n",
      "12\n",
      "15000 15% (1m 6s) 2.9997 Efanov / Italian ✗ (Russian)\n",
      "12\n",
      "15500 15% (1m 8s) 2.6873 Roldan / Italian ✗ (Spanish)\n",
      "16\n",
      "16000 16% (1m 11s) 1.9351 Bach / Korean ✗ (Vietnamese)\n",
      "11\n",
      "16500 16% (1m 13s) 2.9913 Rosenblatt / Greek ✗ (English)\n",
      "10\n",
      "17000 17% (1m 15s) 2.6332 Oliver / Spanish ✗ (French)\n",
      "10\n",
      "17500 17% (1m 17s) 2.6915 Stanek / Spanish ✗ (Polish)\n",
      "10\n",
      "18000 18% (1m 19s) 2.6826 Guerra / Spanish ✗ (Italian)\n",
      "3\n",
      "18500 18% (1m 21s) 2.5700 Puerta / Japanese ✗ (Spanish)\n",
      "11\n",
      "19000 19% (1m 23s) 1.8933 Batsakis / Greek ✓\n",
      "11\n",
      "19500 19% (1m 25s) 2.6197 Stevenson / Greek ✗ (Scottish)\n",
      "2\n",
      "20000 20% (1m 28s) 2.4949 Nozaki / Arabic ✗ (Japanese)\n",
      "5\n",
      "20500 20% (1m 30s) 3.0660 Hrdy / Vietnamese ✗ (Czech)\n",
      "16\n",
      "21000 21% (1m 32s) 1.2869 Pak / Korean ✓\n",
      "11\n",
      "21500 21% (1m 34s) 2.6080 Macshuibhne / Greek ✗ (Irish)\n",
      "13\n",
      "22000 22% (1m 36s) 2.5887 Stueck / Portuguese ✗ (German)\n",
      "2\n",
      "22500 22% (1m 38s) 2.5926 Hoang / Arabic ✗ (Vietnamese)\n",
      "2\n",
      "23000 23% (1m 40s) 2.5380 Royer / Arabic ✗ (French)\n",
      "11\n",
      "23500 23% (1m 42s) 1.2443 Missiakos / Greek ✓\n",
      "17\n",
      "24000 24% (1m 44s) 2.1713 Yankevich / Polish ✗ (Russian)\n",
      "16\n",
      "24500 24% (1m 47s) 1.2046 Hung / Korean ✓\n",
      "2\n",
      "25000 25% (1m 49s) 2.6207 Riagan / Arabic ✗ (Irish)\n",
      "13\n",
      "25500 25% (1m 51s) 2.3622 D'cruze / Portuguese ✓\n",
      "13\n",
      "26000 26% (1m 53s) 2.3198 Ventura / Portuguese ✓\n",
      "6\n",
      "26500 26% (1m 56s) 2.5367 Innocenti / Russian ✗ (Italian)\n",
      "6\n",
      "27000 27% (1m 58s) 2.7707 Rosenfeld / Russian ✗ (German)\n",
      "14\n",
      "27500 27% (2m 0s) 2.4860 Brodeur / Scottish ✗ (French)\n",
      "8\n",
      "28000 28% (2m 2s) 2.5461 Johnston / Irish ✗ (Scottish)\n",
      "5\n",
      "28500 28% (2m 4s) 2.0030 Vuong / Vietnamese ✓\n",
      "2\n",
      "29000 28% (2m 6s) 2.5567 Aldana / Arabic ✗ (Spanish)\n",
      "2\n",
      "29500 29% (2m 9s) 2.5782 Plank / Arabic ✗ (German)\n",
      "2\n",
      "30000 30% (2m 11s) 2.8821 Hass / Arabic ✗ (German)\n",
      "13\n",
      "30500 30% (2m 13s) 2.2544 Castro / Portuguese ✓\n",
      "2\n",
      "31000 31% (2m 15s) 2.7758 Roach / Arabic ✗ (Irish)\n",
      "6\n",
      "31500 31% (2m 17s) 2.3212 Macghabhann / Russian ✗ (Irish)\n",
      "9\n",
      "32000 32% (2m 19s) 2.3303 Fenton / English ✓\n",
      "4\n",
      "32500 32% (2m 21s) 2.4886 Haga / Chinese ✗ (Japanese)\n",
      "1\n",
      "33000 33% (2m 24s) 2.5773 Kuiper / German ✗ (Dutch)\n",
      "8\n",
      "33500 33% (2m 26s) 2.3093 Flann / Irish ✓\n",
      "3\n",
      "34000 34% (2m 28s) 2.3498 Hakimi / Japanese ✗ (Arabic)\n",
      "16\n",
      "34500 34% (2m 30s) 1.2755 Pho / Korean ✗ (Vietnamese)\n",
      "1\n",
      "35000 35% (2m 33s) 2.1225 Lennon / German ✗ (Irish)\n",
      "6\n",
      "35500 35% (2m 35s) 2.5386 Nardovino / Russian ✗ (Italian)\n",
      "5\n",
      "36000 36% (2m 37s) 1.4799 Huan / Vietnamese ✗ (Chinese)\n",
      "13\n",
      "36500 36% (2m 39s) 2.3251 Guttuso / Portuguese ✗ (Italian)\n",
      "11\n",
      "37000 37% (2m 41s) 1.2252 Kreskas / Greek ✓\n",
      "7\n",
      "37500 37% (2m 43s) 2.6623 Baarle / French ✗ (Dutch)\n",
      "2\n",
      "38000 38% (2m 46s) 2.6515 Wolf / Arabic ✗ (English)\n",
      "4\n",
      "38500 38% (2m 48s) 1.4144 Zhong / Chinese ✓\n",
      "1\n",
      "39000 39% (2m 50s) 1.9098 Lorenz / German ✓\n",
      "3\n",
      "39500 39% (2m 52s) 2.1408 Santiago / Japanese ✗ (Portuguese)\n",
      "11\n",
      "40000 40% (2m 55s) 1.4615 Kourempes / Greek ✓\n",
      "4\n",
      "40500 40% (2m 57s) 1.3793 Mach / Chinese ✗ (Vietnamese)\n",
      "0\n",
      "41000 41% (3m 0s) 2.2719 Klimek / Czech ✗ (Polish)\n",
      "12\n",
      "41500 41% (3m 2s) 2.1169 Montagna / Italian ✓\n",
      "5\n",
      "42000 42% (3m 4s) 1.3020 Quan / Vietnamese ✗ (Chinese)\n",
      "17\n",
      "42500 42% (3m 7s) 1.3645 Rudaski / Polish ✓\n",
      "16\n",
      "43000 43% (3m 9s) 1.1638 Yin / Korean ✗ (Chinese)\n",
      "17\n",
      "43500 43% (3m 11s) 1.0859 Janowski / Polish ✓\n",
      "12\n",
      "44000 44% (3m 13s) 3.4478 Andringa / Italian ✗ (Dutch)\n",
      "3\n",
      "44500 44% (3m 15s) 1.1232 Yamaoka / Japanese ✓\n",
      "13\n",
      "45000 45% (3m 17s) 1.2826 Torres / Portuguese ✓\n",
      "8\n",
      "45500 45% (3m 20s) 2.1181 Montagne / Irish ✗ (French)\n",
      "3\n",
      "46000 46% (3m 22s) 2.5068 Seaghdha / Japanese ✗ (Irish)\n",
      "5\n",
      "46500 46% (3m 24s) 2.1551 Xian / Vietnamese ✗ (Chinese)\n",
      "7\n",
      "47000 47% (3m 26s) 1.9875 Eckersall / French ✗ (English)\n",
      "17\n",
      "47500 47% (3m 28s) 0.8130 Janowski / Polish ✓\n",
      "3\n",
      "48000 48% (3m 30s) 1.4970 Acciaioli / Japanese ✗ (Italian)\n",
      "7\n",
      "48500 48% (3m 33s) 2.1610 Nader / French ✗ (Arabic)\n",
      "8\n",
      "49000 49% (3m 35s) 2.6309 Augustin / Irish ✗ (French)\n",
      "16\n",
      "49500 49% (3m 37s) 1.1199 An / Korean ✗ (Vietnamese)\n",
      "13\n",
      "50000 50% (3m 39s) 2.7247 Lauwers / Portuguese ✗ (Dutch)\n",
      "2\n",
      "50500 50% (3m 41s) 1.7741 Kogara / Arabic ✗ (Japanese)\n",
      "15\n",
      "51000 51% (3m 43s) 3.1835 Register / Dutch ✗ (Irish)\n",
      "7\n",
      "51500 51% (3m 45s) 1.5661 Baumgartner / French ✗ (German)\n",
      "8\n",
      "52000 52% (3m 47s) 2.9014 Sayegh / Irish ✗ (Arabic)\n",
      "11\n",
      "52500 52% (3m 49s) 0.3861 Forakis / Greek ✓\n",
      "1\n",
      "53000 53% (3m 51s) 1.0127 Schroeder / German ✓\n",
      "1\n",
      "53500 53% (3m 54s) 4.2046 Libreht / German ✗ (Russian)\n",
      "10\n",
      "54000 54% (3m 56s) 1.4879 Belo / Spanish ✗ (Portuguese)\n",
      "17\n",
      "54500 54% (3m 58s) 0.6995 Gorski / Polish ✓\n",
      "13\n",
      "55000 55% (4m 0s) 1.6535 Fuentes / Portuguese ✗ (Spanish)\n",
      "7\n",
      "55500 55% (4m 2s) 2.6289 Baarle / French ✗ (Dutch)\n",
      "11\n",
      "56000 56% (4m 4s) 3.3530 Morcos / Greek ✗ (Arabic)\n",
      "17\n",
      "56500 56% (4m 6s) 0.7766 Smolak / Polish ✓\n",
      "6\n",
      "57000 56% (4m 8s) 1.0199 Vyrupaev / Russian ✓\n",
      "3\n",
      "57500 57% (4m 11s) 1.7360 Staska / Japanese ✗ (Czech)\n",
      "11\n",
      "58000 57% (4m 13s) 0.0511 Protopsaltis / Greek ✓\n",
      "8\n",
      "58500 58% (4m 15s) 2.6779 Sheridan / Irish ✗ (English)\n",
      "1\n",
      "59000 59% (4m 17s) 1.6149 Aller / German ✗ (Dutch)\n",
      "15\n",
      "59500 59% (4m 19s) 1.8847 Hassel / Dutch ✓\n",
      "13\n",
      "60000 60% (4m 21s) 2.4496 Vargas / Portuguese ✗ (Spanish)\n",
      "13\n",
      "60500 60% (4m 23s) 1.6708 Nitta / Portuguese ✗ (Japanese)\n",
      "6\n",
      "61000 61% (4m 25s) 0.3438 Turetskov / Russian ✓\n",
      "11\n",
      "61500 61% (4m 27s) 0.9033 Kringos / Greek ✓\n",
      "11\n",
      "62000 62% (4m 30s) 0.8915 Nikolaou / Greek ✓\n",
      "0\n",
      "62500 62% (4m 32s) 2.5944 Kappel / Czech ✗ (Dutch)\n",
      "7\n",
      "63000 63% (4m 34s) 1.6231 Traverse / French ✓\n",
      "14\n",
      "63500 63% (4m 36s) 2.6515 Romeijn / Scottish ✗ (Dutch)\n",
      "12\n",
      "64000 64% (4m 38s) 1.1478 Quaranta / Italian ✓\n",
      "13\n",
      "64500 64% (4m 40s) 1.2861 D'cruz / Portuguese ✓\n",
      "15\n",
      "65000 65% (4m 42s) 2.6652 Leandres / Dutch ✗ (French)\n",
      "3\n",
      "65500 65% (4m 45s) 0.1789 Toshitala / Japanese ✓\n",
      "15\n",
      "66000 66% (4m 47s) 1.1565 Roijakker / Dutch ✓\n",
      "12\n",
      "66500 66% (4m 49s) 0.5515 Pesaresi / Italian ✓\n",
      "15\n",
      "67000 67% (4m 51s) 6.0714 Shunsen / Dutch ✗ (Japanese)\n",
      "15\n",
      "67500 67% (4m 53s) 1.0856 Rijnders / Dutch ✓\n",
      "4\n",
      "68000 68% (4m 56s) 0.9965 Qiu / Chinese ✓\n",
      "4\n",
      "68500 68% (4m 58s) 1.1300 Dai / Chinese ✓\n",
      "10\n",
      "69000 69% (5m 0s) 2.2454 Sitta / Spanish ✗ (Czech)\n",
      "4\n",
      "69500 69% (5m 2s) 1.0527 Wang / Chinese ✓\n",
      "4\n",
      "70000 70% (5m 5s) 0.9285 Siu / Chinese ✓\n",
      "7\n",
      "70500 70% (5m 7s) 1.9123 Stott / French ✗ (English)\n",
      "1\n",
      "71000 71% (5m 9s) 1.3893 Antwerpen / German ✗ (Dutch)\n",
      "1\n",
      "71500 71% (5m 11s) 1.2765 Esser / German ✓\n",
      "5\n",
      "72000 72% (5m 13s) 1.1192 Banh / Vietnamese ✓\n",
      "1\n",
      "72500 72% (5m 16s) 1.4174 Spiker / German ✗ (Dutch)\n",
      "4\n",
      "73000 73% (5m 18s) 1.1338 Peng / Chinese ✓\n",
      "17\n",
      "73500 73% (5m 20s) 0.4061 Paszek / Polish ✓\n",
      "3\n",
      "74000 74% (5m 22s) 0.3932 Takimoto / Japanese ✓\n",
      "15\n",
      "74500 74% (5m 25s) 1.9820 Esteves / Dutch ✗ (Portuguese)\n",
      "16\n",
      "75000 75% (5m 27s) 1.2436 Won / Korean ✗ (Chinese)\n",
      "14\n",
      "75500 75% (5m 29s) 1.1130 Williamson / Scottish ✓\n",
      "1\n",
      "76000 76% (5m 31s) 2.2397 Dagher / German ✗ (Arabic)\n",
      "15\n",
      "76500 76% (5m 33s) 2.7154 Desrochers / Dutch ✗ (French)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n",
      "77000 77% (5m 36s) 2.4647 Holodny / English ✗ (Russian)\n",
      "2\n",
      "77500 77% (5m 38s) 0.4483 Masih / Arabic ✓\n",
      "11\n",
      "78000 78% (5m 40s) 0.8625 Chellos / Greek ✓\n",
      "5\n",
      "78500 78% (5m 43s) 1.5434 Chi / Vietnamese ✗ (Korean)\n",
      "15\n",
      "79000 79% (5m 45s) 1.2733 Penders / Dutch ✓\n",
      "5\n",
      "79500 79% (5m 47s) 1.3215 Ha / Vietnamese ✗ (Korean)\n",
      "13\n",
      "80000 80% (5m 49s) 0.7892 Mateus / Portuguese ✓\n",
      "4\n",
      "80500 80% (5m 52s) 0.8392 Cui / Chinese ✓\n",
      "2\n",
      "81000 81% (5m 54s) 2.5464 Faust / Arabic ✗ (German)\n",
      "9\n",
      "81500 81% (5m 56s) 2.2005 Boyle / English ✗ (Scottish)\n",
      "4\n",
      "82000 82% (5m 58s) 0.7221 Ang / Chinese ✓\n",
      "4\n",
      "82500 82% (6m 0s) 1.1868 Duong / Chinese ✗ (Vietnamese)\n",
      "17\n",
      "83000 83% (6m 2s) 0.3648 Filipowski / Polish ✓\n",
      "13\n",
      "83500 83% (6m 4s) 3.5834 Squires / Portuguese ✗ (English)\n",
      "17\n",
      "84000 84% (6m 7s) 0.1229 Jaskolski / Polish ✓\n",
      "7\n",
      "84500 84% (6m 9s) 1.6932 Maille / French ✗ (Irish)\n",
      "11\n",
      "85000 85% (6m 11s) 0.4010 Horiatis / Greek ✓\n",
      "8\n",
      "85500 85% (6m 13s) 1.9585 Cunningham / Irish ✗ (Scottish)\n",
      "14\n",
      "86000 86% (6m 16s) 1.6320 Paton / Scottish ✗ (English)\n",
      "8\n",
      "86500 86% (6m 18s) 2.8911 Whyte / Irish ✗ (Scottish)\n",
      "6\n",
      "87000 87% (6m 20s) 0.2377 Valeev / Russian ✓\n",
      "8\n",
      "87500 87% (6m 22s) 0.6639 Mochan / Irish ✓\n",
      "7\n",
      "88000 88% (6m 25s) 2.9583 Collins / French ✗ (Irish)\n",
      "13\n",
      "88500 88% (6m 27s) 2.1881 Basso / Portuguese ✗ (Italian)\n",
      "10\n",
      "89000 89% (6m 29s) 1.0357 Vela / Spanish ✓\n",
      "5\n",
      "89500 89% (6m 31s) 1.8350 Quyen / Vietnamese ✓\n",
      "1\n",
      "90000 90% (6m 34s) 1.4942 Hebert / German ✗ (French)\n",
      "7\n",
      "90500 90% (6m 36s) 1.5513 Ter Avest / French ✗ (Dutch)\n",
      "5\n",
      "91000 91% (6m 38s) 1.5428 Chung / Vietnamese ✗ (Korean)\n",
      "15\n",
      "91500 91% (6m 40s) 0.5628 Rameckers / Dutch ✓\n",
      "16\n",
      "92000 92% (6m 42s) 2.3744 Vogt / Korean ✗ (German)\n",
      "7\n",
      "92500 92% (6m 45s) 1.4185 Watanabe / French ✗ (Japanese)\n",
      "5\n",
      "93000 93% (6m 47s) 0.9277 Bach / Vietnamese ✓\n",
      "5\n",
      "93500 93% (6m 49s) 1.8646 Kwang  / Vietnamese ✗ (Korean)\n",
      "5\n",
      "94000 94% (6m 51s) 1.3291 Ha / Vietnamese ✗ (Korean)\n",
      "6\n",
      "94500 94% (6m 53s) 0.5499 Hitrinsky / Russian ✓\n",
      "6\n",
      "95000 95% (6m 56s) 0.2934 Bakikhanoff / Russian ✓\n",
      "14\n",
      "95500 95% (6m 58s) 2.1846 Mcneil / Scottish ✗ (Irish)\n",
      "3\n",
      "96000 96% (7m 0s) 2.4069 Mustafa / Japanese ✗ (Arabic)\n",
      "4\n",
      "96500 96% (7m 2s) 1.4470 Thao / Chinese ✗ (Vietnamese)\n",
      "11\n",
      "97000 97% (7m 4s) 2.6989 Cuevas / Greek ✗ (Spanish)\n",
      "3\n",
      "97500 97% (7m 6s) 2.5901 Sauvageau / Japanese ✗ (French)\n",
      "17\n",
      "98000 98% (7m 8s) 0.5774 Sokolsky / Polish ✓\n",
      "1\n",
      "98500 98% (7m 10s) 0.9868 Armbruster / German ✓\n",
      "3\n",
      "99000 99% (7m 12s) 1.4956 Toma / Japanese ✗ (Arabic)\n",
      "15\n",
      "99500 99% (7m 14s) 2.0975 Gosse / Dutch ✗ (French)\n",
      "1\n",
      "100000 100% (7m 17s) 0.7660 Wahner / German ✓\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import math\n",
    "\n",
    "learning_rate = 0.005 # If you set this too high, it might explode. If too low, it might not learn\n",
    "def train(category_tensor, line_tensor):\n",
    "    hidden = lstm.initHidden(line_tensor.size(1))\n",
    "\n",
    "    lstm.zero_grad()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = lstm(line_tensor[i].reshape(-1,1,57), hidden)\n",
    "#         rnn(line_tensor[i], hidden)\n",
    "\n",
    "    loss = criterion(output, category_tensor)\n",
    "    loss.backward()\n",
    "\n",
    "    # Add parameters' gradients to their values, multiplied by learning rate\n",
    "    for p in lstm.parameters():\n",
    "        p.data.add_(-learning_rate, p.grad.data)\n",
    "    return output, loss.item()\n",
    "\n",
    "n_iters = 100000 # 这个数字你可以调大一些\n",
    "print_every = 500\n",
    "plot_every = 100\n",
    "\n",
    "\n",
    "# Keep track of losses for plotting\n",
    "current_loss = 0\n",
    "all_losses = []\n",
    "\n",
    "def time_since(since):\n",
    "    now = time.time()\n",
    "    s = now - since\n",
    "    m = math.floor(s / 60)\n",
    "    s -= m * 60\n",
    "    return '%dm %ds' % (m, s)\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "for iter in range(1, n_iters + 1):\n",
    "    category, line, category_tensor, line_tensor = sample_trainning()\n",
    "    output, loss = train(category_tensor, line_tensor)\n",
    "    current_loss += loss\n",
    "\n",
    "    # Print iter number, loss, name and guess\n",
    "    if iter % print_every == 0:\n",
    "        guess, guess_i = category_from_output(output)\n",
    "        correct = '✓' if guess == category else '✗ (%s)' % category\n",
    "        print('%d %d%% (%s) %.4f %s / %s %s' % (iter, iter / n_iters * 100, time_since(start), loss, line, guess, correct))\n",
    "\n",
    "    # Add current loss avg to list of losses\n",
    "    if iter % plot_every == 0:\n",
    "        all_losses.append(current_loss / plot_every)\n",
    "        current_loss = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11a91add0>]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(all_losses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GRU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "\n",
    "class GRU(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size):\n",
    "        super(GRU, self).__init__()\n",
    "\n",
    "        self.hidden_size = hidden_size\n",
    "        \n",
    "        self.gru = nn.GRU(\n",
    "            input_size = input_size,\n",
    "            hidden_size = hidden_size,\n",
    "            num_layers=1\n",
    "        )\n",
    "#         self.i2h = nn.Linear(input_size + hidden_size, hidden_size)\n",
    "        self.output = nn.Linear(hidden_size, output_size)       \n",
    "        self.softmax = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, input, hidden):   \n",
    "        output,hidden = self.gru(input,hidden)\n",
    "        output = self.output(output[:,-1,:])\n",
    "        output = self.softmax(output)\n",
    "        return output, hidden\n",
    "\n",
    "    def initHidden(self, batch_size):\n",
    "#         return torch.zeros(1, self.hidden_size)\n",
    "        return torch.rand(1,batch_size,self.hidden_size)\n",
    "\n",
    "\n",
    "n_hidden = 128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "gru = GRU(n_letters, n_hidden, n_categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input.size: torch.Size([6, 1, 57])\n",
      "input.size(1): 1\n",
      "hidden: tensor([[[0.5144, 0.2319, 0.6851, 0.7090, 0.9246, 0.2666, 0.4500, 0.1974,\n",
      "          0.4965, 0.0657, 0.6452, 0.9452, 0.1522, 0.3742, 0.5268, 0.4423,\n",
      "          0.2324, 0.4558, 0.4701, 0.9277, 0.1834, 0.1196, 0.3063, 0.7453,\n",
      "          0.9469, 0.5067, 0.9233, 0.7713, 0.5949, 0.2372, 0.1143, 0.1905,\n",
      "          0.6709, 0.9014, 0.6697, 0.3632, 0.7764, 0.8575, 0.6667, 0.5740,\n",
      "          0.9584, 0.5140, 0.9629, 0.9579, 0.2075, 0.2551, 0.0978, 0.5207,\n",
      "          0.7724, 0.8321, 0.4211, 0.7595, 0.8470, 0.1882, 0.9617, 0.7607,\n",
      "          0.4078, 0.7313, 0.3199, 0.5032, 0.8451, 0.5852, 0.2227, 0.3353,\n",
      "          0.4333, 0.3173, 0.8288, 0.4614, 0.6391, 0.1262, 0.8410, 0.9046,\n",
      "          0.5727, 0.7770, 0.3066, 0.6939, 0.6023, 0.1813, 0.1389, 0.9279,\n",
      "          0.9731, 0.3052, 0.1086, 0.7169, 0.9302, 0.7077, 0.9207, 0.8552,\n",
      "          0.9974, 0.0336, 0.2569, 0.7002, 0.0431, 0.0423, 0.7072, 0.7516,\n",
      "          0.0574, 0.3154, 0.0943, 0.4523, 0.8107, 0.4620, 0.7684, 0.6963,\n",
      "          0.4194, 0.6886, 0.6413, 0.9935, 0.2068, 0.2001, 0.3824, 0.2733,\n",
      "          0.5683, 0.8976, 0.3086, 0.6515, 0.4381, 0.4004, 0.4739, 0.5846,\n",
      "          0.6706, 0.4760, 0.9286, 0.1004, 0.6557, 0.6903, 0.5856, 0.5545]]])\n",
      "tensor([[-2.9826, -2.8062, -2.6359, -3.1730, -2.8320, -2.8279, -2.8753, -2.7451,\n",
      "         -3.0974, -2.9322, -3.0972, -2.8891, -3.3601, -2.8448, -2.7098, -3.0386,\n",
      "         -2.9546, -2.5508]], grad_fn=<LogSoftmaxBackward>)\n",
      "torch.Size([1, 18])\n"
     ]
    }
   ],
   "source": [
    "#测试GRU\n",
    "input = line_to_tensor('Albert')\n",
    "hidden = gru.initHidden(input.size(1))\n",
    "print(\"input.size:\", input.size())\n",
    "print(\"input.size(1):\", input.size(1))\n",
    "print(\"hidden:\",hidden)\n",
    "output, next_hidden = gru(input[0].reshape(-1,1,57),hidden)\n",
    "print(output)\n",
    "print(output.size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n",
      "500 0% (0m 2s) 2.9483 Yudin / Vietnamese ✗ (Russian)\n",
      "5\n",
      "1000 1% (0m 4s) 2.9000 Budny / Vietnamese ✗ (Polish)\n",
      "13\n",
      "1500 1% (0m 6s) 2.8452 Sakelaris / Portuguese ✗ (Greek)\n",
      "13\n",
      "2000 2% (0m 8s) 2.8640 Sleiman / Portuguese ✗ (Arabic)\n",
      "5\n",
      "2500 2% (0m 10s) 2.7397 Nguyen / Vietnamese ✓\n",
      "5\n",
      "3000 3% (0m 12s) 2.8627 Stock / Vietnamese ✗ (English)\n",
      "11\n",
      "3500 3% (0m 14s) 2.7713 Vlasek / Greek ✗ (Czech)\n",
      "13\n",
      "4000 4% (0m 16s) 2.8289 Pesek / Portuguese ✗ (Czech)\n",
      "11\n",
      "4500 4% (0m 18s) 2.7152 Meeuwis / Greek ✗ (Dutch)\n",
      "16\n",
      "5000 5% (0m 20s) 2.7116 Toma / Korean ✗ (Arabic)\n",
      "11\n",
      "5500 5% (0m 22s) 2.5311 Jalamov / Greek ✗ (Russian)\n",
      "16\n",
      "6000 6% (0m 24s) 1.6387 Doan / Korean ✗ (Vietnamese)\n",
      "11\n",
      "6500 6% (0m 26s) 2.7915 Slootmaekers / Greek ✗ (Dutch)\n",
      "6\n",
      "7000 7% (0m 28s) 2.7953 Charron / Russian ✗ (French)\n",
      "6\n",
      "7500 7% (0m 30s) 2.5626 Janowski / Russian ✗ (Polish)\n",
      "1\n",
      "8000 8% (0m 32s) 2.6236 Frazer / German ✗ (English)\n",
      "2\n",
      "8500 8% (0m 34s) 2.7282 Devin / Arabic ✗ (Irish)\n",
      "11\n",
      "9000 9% (0m 36s) 1.5974 Eliopoulos / Greek ✓\n",
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      "17\n",
      "10000 10% (0m 40s) 2.4315 Capello / Polish ✗ (Italian)\n",
      "12\n",
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      "4\n",
      "11500 11% (0m 46s) 1.8289 Sze  / Chinese ✓\n",
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      "12500 12% (0m 50s) 3.3351 Roux / Chinese ✗ (French)\n",
      "6\n",
      "13000 13% (0m 52s) 2.5478 Jackson / Russian ✗ (Scottish)\n",
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      "13500 13% (0m 54s) 2.6845 Macshuibhne / Russian ✗ (Irish)\n",
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      "15000 15% (1m 0s) 2.2891 Hawlata / Polish ✗ (Czech)\n",
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      "15500 15% (1m 2s) 2.4162 Pettigrew / Russian ✗ (French)\n",
      "6\n",
      "16000 16% (1m 4s) 1.4317 Paradzinsky / Russian ✓\n",
      "2\n",
      "16500 16% (1m 6s) 1.9773 Ozawa / Arabic ✗ (Japanese)\n",
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      "17000 17% (1m 8s) 1.5320 Kowalski / Polish ✓\n",
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      "4\n",
      "18000 18% (1m 12s) 2.2160 Jung  / Chinese ✗ (Korean)\n",
      "3\n",
      "18500 18% (1m 14s) 2.3624 Aloia / Japanese ✗ (Italian)\n",
      "16\n",
      "19000 19% (1m 16s) 1.1646 La / Korean ✗ (Vietnamese)\n",
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      "21500 21% (1m 26s) 1.8811 Bach / Korean ✗ (Vietnamese)\n",
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      "7\n",
      "22500 22% (1m 31s) 4.1677 Komine / French ✗ (Japanese)\n",
      "7\n",
      "23000 23% (1m 33s) 2.6689 Christie / French ✗ (Scottish)\n",
      "8\n",
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      "2\n",
      "24000 24% (1m 37s) 1.6515 Rahal / Arabic ✓\n",
      "6\n",
      "24500 24% (1m 39s) 2.3438 Cassidy / Russian ✗ (Irish)\n",
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      "25000 25% (1m 41s) 2.7599 Kocian / Irish ✗ (Czech)\n",
      "2\n",
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      "7\n",
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      "7\n",
      "27000 27% (1m 49s) 2.2027 Ashbridge / French ✗ (English)\n",
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      "28000 28% (1m 53s) 2.2369 Baz / Vietnamese ✗ (Arabic)\n",
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      "30000 30% (2m 1s) 1.1985 Penders / Dutch ✓\n",
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      "31000 31% (2m 5s) 1.4252 Plisek / Polish ✗ (Czech)\n",
      "0\n",
      "31500 31% (2m 7s) 3.0951 Schulz / Czech ✗ (German)\n",
      "2\n",
      "32000 32% (2m 9s) 1.1623 Harb / Arabic ✓\n",
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      "12\n",
      "33500 33% (2m 15s) 1.4204 Delgado / Italian ✗ (Portuguese)\n",
      "0\n",
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      "4\n",
      "34500 34% (2m 19s) 1.8762 Bang / Chinese ✗ (Korean)\n",
      "14\n",
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      "17\n",
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      "38500 38% (2m 35s) 1.2631 Shon / Vietnamese ✗ (Korean)\n",
      "8\n",
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      "6\n",
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      "49000 49% (3m 18s) 2.1516 Corrigan / Irish ✗ (English)\n",
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      "51000 51% (3m 26s) 1.2863 Han / Korean ✗ (Chinese)\n",
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      "10\n",
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      "12\n",
      "61000 61% (4m 6s) 0.2367 Agnelli / Italian ✓\n",
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      "61500 61% (4m 8s) 2.4838 Neil / Scottish ✗ (Irish)\n",
      "8\n",
      "62000 62% (4m 10s) 2.2244 Liddell / Irish ✗ (English)\n",
      "13\n",
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      "12\n",
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      "3\n",
      "64000 64% (4m 18s) 1.9973 Samaha / Japanese ✗ (Arabic)\n",
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      "3\n",
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      "4\n",
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      "67500 67% (4m 32s) 1.9793 Clayton / Scottish ✗ (English)\n",
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      "3\n",
      "68500 68% (4m 36s) 3.9754 Zaloumi / Japanese ✗ (Greek)\n",
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      "69500 69% (4m 40s) 1.1938 Kloeter / Dutch ✓\n",
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      "70500 70% (4m 44s) 1.5851 Schoorel / Dutch ✓\n",
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      "6\n",
      "72000 72% (4m 50s) 0.6500 Veligodsky / Russian ✓\n",
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      "72500 72% (4m 52s) 5.3010 Landau / Portuguese ✗ (German)\n",
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      "73000 73% (4m 54s) 0.3047 Ta / Vietnamese ✓\n",
      "14\n",
      "73500 73% (4m 56s) 0.9422 Sinclair / Scottish ✓\n",
      "0\n",
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      "7\n",
      "74500 74% (5m 0s) 1.0447 Joubert / French ✓\n",
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      "76000 76% (5m 6s) 4.0351 Rompa / Czech ✗ (Dutch)\n",
      "1\n",
      "76500 76% (5m 8s) 2.1743 Berger / German ✗ (French)\n",
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      "77000 77% (5m 11s) 0.9445 Otten / Dutch ✓\n",
      "6\n",
      "77500 77% (5m 12s) 0.0098 Vyalkov / Russian ✓\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n",
      "78000 78% (5m 15s) 2.1259 Hayes / Portuguese ✗ (English)\n",
      "1\n",
      "78500 78% (5m 17s) 1.5850 Friedrich / German ✓\n",
      "14\n",
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      "17\n",
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      "10\n",
      "80000 80% (5m 23s) 0.8167 Alvarado / Spanish ✓\n",
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      "81500 81% (5m 29s) 0.2958 Ho / Korean ✓\n",
      "9\n",
      "82000 82% (5m 31s) 2.3407 Oborny / English ✗ (Czech)\n",
      "8\n",
      "82500 82% (5m 33s) 2.6202 Michel / Irish ✗ (French)\n",
      "17\n",
      "83000 83% (5m 35s) 0.7270 Stanek / Polish ✓\n",
      "7\n",
      "83500 83% (5m 37s) 1.9963 Pugliese / French ✗ (Italian)\n",
      "6\n",
      "84000 84% (5m 39s) 0.0401 Dakhaev / Russian ✓\n",
      "17\n",
      "84500 84% (5m 41s) 0.4856 Smolak / Polish ✓\n",
      "8\n",
      "85000 85% (5m 43s) 0.5493 O'Kane / Irish ✓\n",
      "2\n",
      "85500 85% (5m 45s) 2.3862 Harin / Arabic ✗ (Russian)\n",
      "3\n",
      "86000 86% (5m 47s) 1.7291 Como / Japanese ✗ (Italian)\n",
      "1\n",
      "86500 86% (5m 49s) 2.4393 Bruckner / German ✗ (Czech)\n",
      "6\n",
      "87000 87% (5m 51s) 3.8087 Kubin / Russian ✗ (Czech)\n",
      "17\n",
      "87500 87% (5m 53s) 0.4140 Bobienski / Polish ✓\n",
      "14\n",
      "88000 88% (5m 55s) 1.1514 Sutherland / Scottish ✓\n",
      "3\n",
      "88500 88% (5m 57s) 1.2104 Ota / Japanese ✓\n",
      "2\n",
      "89000 89% (5m 59s) 0.4147 Moghadam / Arabic ✓\n",
      "17\n",
      "89500 89% (6m 1s) 0.8649 Walentowicz / Polish ✓\n",
      "4\n",
      "90000 90% (6m 3s) 1.4363 Wang / Chinese ✗ (Korean)\n",
      "15\n",
      "90500 90% (6m 5s) 0.7617 Kuipers / Dutch ✓\n",
      "13\n",
      "91000 91% (6m 7s) 2.1753 Vives / Portuguese ✗ (Spanish)\n",
      "5\n",
      "91500 91% (6m 9s) 1.0046 Ngo / Vietnamese ✓\n",
      "8\n",
      "92000 92% (6m 11s) 0.4639 Nuallan / Irish ✓\n",
      "15\n",
      "92500 92% (6m 13s) 3.9029 Lustgarten / Dutch ✗ (Russian)\n",
      "6\n",
      "93000 93% (6m 15s) 0.0023 Jarmuhamedov / Russian ✓\n",
      "1\n",
      "93500 93% (6m 17s) 1.7250 Knopf / German ✓\n",
      "2\n",
      "94000 94% (6m 19s) 1.4832 Tosi / Arabic ✗ (Italian)\n",
      "7\n",
      "94500 94% (6m 21s) 4.0139 Fabian / French ✗ (Polish)\n",
      "4\n",
      "95000 95% (6m 23s) 0.8881 Xiong / Chinese ✓\n",
      "8\n",
      "95500 95% (6m 25s) 1.8801 Handal / Irish ✗ (Arabic)\n",
      "1\n",
      "96000 96% (6m 27s) 1.2487 Beltz / German ✓\n",
      "12\n",
      "96500 96% (6m 29s) 0.7277 Di caprio / Italian ✓\n",
      "1\n",
      "97000 97% (6m 31s) 1.4117 Kessel / German ✗ (Czech)\n",
      "1\n",
      "97500 97% (6m 33s) 1.0894 Janz / German ✓\n",
      "10\n",
      "98000 98% (6m 35s) 0.2351 Martinez / Spanish ✓\n",
      "16\n",
      "98500 98% (6m 37s) 0.9923 Ha / Korean ✗ (Vietnamese)\n",
      "6\n",
      "99000 99% (6m 39s) 0.0133 Bahtov / Russian ✓\n",
      "12\n",
      "99500 99% (6m 41s) 1.0793 Valencia / Italian ✗ (Spanish)\n",
      "10\n",
      "100000 100% (6m 43s) 1.4486 Costa / Spanish ✗ (Italian)\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import math\n",
    "\n",
    "learning_rate = 0.005 # If you set this too high, it might explode. If too low, it might not learn\n",
    "def train(category_tensor, line_tensor):\n",
    "    hidden = gru.initHidden(line_tensor.size(1))\n",
    "\n",
    "    gru.zero_grad()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hidden = gru(line_tensor[i].reshape(-1,1,57), hidden)\n",
    "#         rnn(line_tensor[i], hidden)\n",
    "\n",
    "    loss = criterion(output, category_tensor)\n",
    "    loss.backward()\n",
    "\n",
    "    # Add parameters' gradients to their values, multiplied by learning rate\n",
    "    for p in gru.parameters():\n",
    "        p.data.add_(-learning_rate, p.grad.data)\n",
    "    return output, loss.item()\n",
    "\n",
    "n_iters = 100000 # 这个数字你可以调大一些\n",
    "print_every = 500\n",
    "plot_every = 100\n",
    "\n",
    "\n",
    "# Keep track of losses for plotting\n",
    "current_loss = 0\n",
    "all_losses = []\n",
    "\n",
    "def time_since(since):\n",
    "    now = time.time()\n",
    "    s = now - since\n",
    "    m = math.floor(s / 60)\n",
    "    s -= m * 60\n",
    "    return '%dm %ds' % (m, s)\n",
    "\n",
    "start = time.time()\n",
    "\n",
    "for iter in range(1, n_iters + 1):\n",
    "    category, line, category_tensor, line_tensor = sample_trainning()\n",
    "    output, loss = train(category_tensor, line_tensor)\n",
    "    current_loss += loss\n",
    "\n",
    "    # Print iter number, loss, name and guess\n",
    "    if iter % print_every == 0:\n",
    "        guess, guess_i = category_from_output(output)\n",
    "        correct = '✓' if guess == category else '✗ (%s)' % category\n",
    "        print('%d %d%% (%s) %.4f %s / %s %s' % (iter, iter / n_iters * 100, time_since(start), loss, line, guess, correct))\n",
    "\n",
    "    # Add current loss avg to list of losses\n",
    "    if iter % plot_every == 0:\n",
    "        all_losses.append(current_loss / plot_every)\n",
    "        current_loss = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x119e11a10>]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(all_losses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GRU相比于LSTM，在训练参数没有变动的情况下，收敛速度快于LSTM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 把该RNN模型变成多层RNN模型，观察Loss的变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "class MULTI_RNN(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size, output_size, n_layers=3):\n",
    "        super(MULTI_RNN,self).__init__()\n",
    "        self.input_size = input_size\n",
    "        self.hidden_size = hidden_size\n",
    "        self.output_szie = output_size\n",
    "        self.n_layers = n_layers\n",
    "        \n",
    "        self.i2h = nn.Linear(input_size + hidden_size, hidden_size)\n",
    "        self.i2o = nn.Linear(input_size + hidden_size, input_size)\n",
    "        self.o2o = nn.Linear(input_size, output_size)\n",
    "        self.softmax = nn.Softmax(dim = 1)\n",
    "    def forward(self, input, hiddens):\n",
    "        hidden_new = torch.zeros(self.n_layers, 1, self.hidden_size)\n",
    "        for i in range(self.n_layers):\n",
    "            hidden = hiddens[i]\n",
    "            combined = torch.cat((input,hidden), 1)\n",
    "            hidden = self.i2h(combined)\n",
    "            input = self.i2o(combined)\n",
    "            hidden_new[i] = hidden\n",
    "        output = self.o2o(input)\n",
    "        output = self.softmax(output)\n",
    "        return output, hidden_new\n",
    "    def initHidden(self):\n",
    "        return torch.zeros(self.n_layers, 1, self.hidden_size)\n",
    "\n",
    "multi_rnn = MULTI_RNN(n_letters, n_hidden, n_categories)\n",
    "\n",
    "# 训练\n",
    "def train_multi_rnn(category_tensor, line_tensor,learning_rate = 0.005,\n",
    "                    criterion = nn.CrossEntropyLoss(),\n",
    "                    your_rnn = multi_rnn):\n",
    "    hiddens = your_rnn.initHidden()\n",
    "\n",
    "    your_rnn.zero_grad()\n",
    "\n",
    "    for i in range(line_tensor.size()[0]):\n",
    "        output, hiddens = your_rnn(line_tensor[i], hiddens)\n",
    "    loss = criterion(output, category_tensor)\n",
    "    loss.backward()\n",
    "    \n",
    "    # Add parameters' gradients to their values, multiplied by learning rate\n",
    "    for p in multi_rnn.parameters():\n",
    "        p.data.add_(-learning_rate, p.grad.data)\n",
    "    return output, loss.item()\n",
    "# loss图\n",
    "def plot_loss_mrnn(n_iter = 1000, plot_every = 100, \n",
    "                   give_criterion = nn.CrossEntropyLoss(), \n",
    "                   give_rnn = multi_rnn):\n",
    "    current_loss = 0\n",
    "    losses = []\n",
    "    for iter in range(1, n_iter+1):\n",
    "        category, line, category_tensor, line_tensor = sample_trainning()\n",
    "        output, loss = train_multi_rnn(category_tensor, line_tensor,\n",
    "                                       criterion = give_criterion,\n",
    "                                       your_rnn = give_rnn)\n",
    "        current_loss += loss\n",
    "        \n",
    "        if iter%plot_every == 0:\n",
    "            losses.append(current_loss/iter)\n",
    "            current_loss = 0\n",
    "    plt.plot(losses)\n",
    "    \n",
    "plot_loss_mrnn(n_iter = 10000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Pytorch里边常用nn.NLLoss来代替crossentropy，将criterion改为nn.NLLoss，观察变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss_mrnn(n_iter = 10000, plot_every = 100, give_criterion = nn.NLLLoss(), give_rnn =multi_rnn)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
